1. N. Belacel, H. Raval, and A. Punnen. Learning multicriteria fuzzy classification method PROAFTN from data. Computers & Operations Research, 34(7):1885-1898, 2007. Keyword(s): data mining, multiple criteria classification, PROAFTN, variable neighborhood search. [bibtex-entry]

1. A. Fielding. Cluster and Classification Techniques for the Biosciences. Cambridge University Press, Cambridge, 2006. [bibtex-entry]



2. C. Zopounidis, M. Doumpos, and P. Pardalos. Handbook of Financial Engineering. Springer, 2006. Note: To Appear. [bibtex-entry]



3. T. Tervonen, J. Almeida Dias, J. Figueira, R. Lahdelma, and P. Salminen. SMAA -TRI: A parameter stability method for ELECTRE TRI. In G. A. Kiker and I. Linkov, editors, Environmental Security and Environmental Decision-Making. Springer, 2006. Note: To Appear. Keyword(s): MCDA, ELECTRE TRI, stochastic multicriteria acceptability analysis, stability Analysis. [bibtex-entry]



4. C. Araz and I. Ozkarahan. Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure. International Journal of Prodution Economics, 2006. Note: In Press. Keyword(s): supplier selection and evaluation, product development, multicriteria sorting. [bibtex-entry]



5. J. Blaszczynski, S. Greco, and R. Słowiński. Multi-criteria classification: A new scheme for application of dominance-based decision rules. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multi-criteria classification, rough sets, dominance, decision rules, classifiers. [bibtex-entry]



6. Y. Chen, D. Kilgour, and K. Hipel. Multiple criteria classification with an application in water resources planning. Computers & Operations Research, 33(11):3301-3323, 2006. Keyword(s): multiple criteria decision aid, sorting, nominal classification, resource management. [bibtex-entry]



7. Y. Chen, K. Li, D. Kilgour, and K. Hipel. A case-based distance model for multiple criteria ABC analysis. Computers & Operations Research, 2006. Note: In Press. Keyword(s): inventory management, ABC analysis, multiple criteria, decision aid, case-based distance model, Euclidean distance. [bibtex-entry]



8. K.-L. Chung and K.-S. Lin. An efficient line symmetry-based k-means algorithm. Pattern Recognition Letters, 27(7):765-772, 2006. Note: Short Communication. Keyword(s): clustering, k-means algorithm, point symmetry, line symmetry. [bibtex-entry]



9. C. Cifarelli, L. Nieddu, O. Seref, and P. Pardalos. K-T.R.A.C.E: A kernel k-means procedure for classification. Computers & Operations Research, 2006. Note: In Press. Keyword(s): classification, k-means, kernel functions. [bibtex-entry]



10. S. Damart, L. C. Dias, and V. Mousseau. Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS. Decision Support Systems, 2006. Note: In Press. Keyword(s): classification / sorting, group decision making / GDSS, multi-criteria decision making, imprecise information. [bibtex-entry]



11. L. C. Dias and V. Mousseau. Inferring ELECTRE's veto-related parameters from outranking examples. European Journal of Operational Research, 170(1):172-191, 2006. Keyword(s): multiple criteria analysis, parameter inference procedures, valued outranking relations, ELECTRE, discordance, veto. [bibtex-entry]



12. K. Doherty, R. Adams, and N. Davey. Unsupervised learning with normalised data and non-Euclidean norms. Applied Soft Computing, 2006. Note: In Press. Keyword(s): distance measures, data normalisation, unsupervised learning, neural gas, growing neural gas, self-organising map, k-means. [bibtex-entry]



13. C. Eick, A. Rouhana, A. Bagherjeiran, and R. Vilalta. Using clustering to learn distance functions for supervised similarity assessment. Engineering Applications of Artificial Intelligence, 19(4):395-401, 2006. Keyword(s): distance function learning, supervised clustering, nearest neighbor. [bibtex-entry]



14. U. Gonzales-Barron and F. Butler. A comparison of seven thresholding techniques with the k-means clustering algorithm for measurement of bread-crumb features by digital image analysis. Journal of Food Engineering, 74(2):268-278, 2006. Keyword(s): image analysis, bread, thresholding, crumb features. [bibtex-entry]



15. E. Grigoroudis, G. Nikolopoulou, and C. Zopounidis. The linkage between national customer satisfaction barometers and macroeconomic development data: A multiobjective ordinal regression approach. The South European Review of Business Finance and Accounting, 2006. Note: In Press. [bibtex-entry]



16. V. Hontou, D. Diakoulaki, and L. Papagiannakis. A multicriterion classification approach for assessing the impact of environmental policies on the competitiveness of firms. Corporate Social Responsibility and Environmental Management, 2006. Note: In Press. [bibtex-entry]



17. K. Jabeur and J.-M. Martel. An ordinal sorting method for group decision-making. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): group decision-making, ordinal sorting, distance measure, preferences aggregation, preferences relational system, relative importance of the members, multicriteria analysis. [bibtex-entry]



18. A. Jiménez, S. Rìos-Insua, and A. Mateos. A generic multi-attribute analysis system. Computers & Operations Research, 33(4):1081-1101, 2006. Keyword(s): decision support systems, additive multiattribute utility function, incomplete information, Monte Carlo simulation techniques. [bibtex-entry]



19. Z. Knops, J. Maintz, M. Viergever, and J. Pluim. Normalized mutual information based registration using k-means clustering and shading correction. Medical Image Analysis, 10(3):432-439, 2006. Keyword(s): image registration, normalized mutual information, k-means clustering, shading correction, robustness. [bibtex-entry]



20. K. Kosmidou, F. Pasiouras, C. Zopounidis, and M. Doumpos. A multivariate analysis of the financial characteristics of foreign and domestic banks in the UK. Omega - The International Journal of Management Science, 34(2):189-195, 2006. Keyword(s): bank performance, logistic regression, classification. [bibtex-entry]



21. H. Lee, H. Chen, and J. Lin. K-means method for rough classification of R&D employees' performance evaluation. International Transactions in Operational Research, 13(4):365-377, 2006. [bibtex-entry]



22. G. A. Mendoza and H. Martins. Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms. Forest Ecology and Management, 230(1-3):1-22, 2006. Keyword(s): multi-objective planning, soft systems approach, participatory modelling, multi-stakeholder decision-making. [bibtex-entry]



23. S. Mingoti and J. Lima. Comparing SOM neural network with fuzzy c-means, k-means and traditional hierarchical clustering algorithms. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multivariate statistics, hierarchical clustering, SOM neural network, fuzzy c-means, k- means. [bibtex-entry]



24. V. Mousseau, L. C. Dias, and J. Figueira. Dealing with inconsistent judgments in multiple criteria sorting models. 4OR: A Quarterly Journal of Operations Research, 4(2):145-158, 2006. Keyword(s): multicriteria decision aiding, sorting, inconsistency analysis. [bibtex-entry]



25. M. Otsubo, K. Sato, and A. Yamaji. Computerized identification of stress tensors determined from heterogeneous fault-slip data by combining the multiple inverse method and k-means clustering. Journal of Structural Geology, 28(6):991-997, 2006. Keyword(s): stress tensor, k-means, multiple inverse method, s-space, stress difference, meso-scale fault. [bibtex-entry]



26. G. Papamichail and D. Papamichail. The k-means range algorithm for personalized data clustering in e-commerce. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): heuristics, distributed consumer decision-making, range search, data clustering, personalized systems. [bibtex-entry]



27. F. Pasiouras, Ch. Gaganis, and M. Doumpos. A multicriteria discrimination approach for the credit rating of Asian banks. Annals of Finance, 2006. Note: In Press. Keyword(s): Asia, banks, credit ratings, Fitch, multi-criteria. [bibtex-entry]



28. F. Pasiouras, Ch. Gaganis, and C. Zopounidis. Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multicriteria analysis, auditing, classification, case study. [bibtex-entry]



29. F. Pasiouras, S. Tanna, and C. Zopounidis. The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches. International Review of Financial Analysis, 2006. Note: In Press. Keyword(s): acquisitions, banks, classification, MCDA. [bibtex-entry]



30. G. Peters. Some refinements of rough k-means clustering. Pattern Recognition, 39(8):1481-1491, 2006. Keyword(s): cluster algorithms, rough k-means, soft computing, data analysis, forest data, bioinformatics data. [bibtex-entry]



31. L. Rueda and Y. Zhang. Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognition, 39(8):1415-1429, 2006. Keyword(s): fuzzy clustering, fuzzy a-means, cluster visualization, expectation maximization. [bibtex-entry]



32. G. Samaras, N. Matsatsinis, and C. Zopounidis. A multicriteria DSS for stock evaluation using fundamental analysis. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multiple criteria analysis, decision support systems, stock evaluation. [bibtex-entry]



33. Z.-X. Sun, M. Han, and W.-H. Qiu. Classification approach for multicriteria decision making problem. Kongzhi yu Juece/Control and Decision, 21(2):171-174, 2006. Keyword(s): classification, linear programming, multicriteria decision making, valued outranking relation. [bibtex-entry]



34. T. Van Gestel, B. Baesens, J. Suykens, D. Van den Poel, D.-E. Baestaens, and M. Willekens. Bayesian kernel based classification for financial distress detection. European Journal of Operational Research, 172(3):979-1003, 2006. Note: VanGestelETAL05. Keyword(s): credit scoring, kernel Fisher discriminant analysis, least squares support vector machine classifiers, bayesian inference. [bibtex-entry]



35. J. Wang. Multi-criteria classification approach with polynomial aggregation function and incomplete certain information. Journal of Systems Engineering and Electronics, 17(3):546-550, 2006. Keyword(s): multi-criteria, decision-making, incomplete certain information, polynomial function, classification. [bibtex-entry]



36. Y. Yang and M. Kamel. An aggregated clustering approach using multi-ant colonies algorithms. Pattern Recognition, 39(7):1278-1289, 2006. Keyword(s): ant algorithm, multi-ant colonies, clustering, aggregated clustering. [bibtex-entry]



37. I. Yevseyeva, K. Miettinen, and P. Räsänen. Verbal ordinal classification with multicriteria decision aiding. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multiple criteria analysis, decision support systems, verbal decision analysis, dichotomic, classification, neuropsychological diagnostics. [bibtex-entry]



38. P. Zhou and L. Fan. A note on multi-criteria ABC inventory classification using weighted linear optimization. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): inventory, multiple criteria analysis, classification. [bibtex-entry]



39. C. Zopounidis, M. Doumpos, and Ch. Gaganis. Prediction of firms' bankruptcy: A multicriteria methodology. Data Analysis Bulletin, 2006. Note: In Press. [bibtex-entry]



40. A. Rolland. Points de référence en décision multicritère. In Actes ROADEF 06, 2006. Société Française de Recherche Opérationnelle et d'Aide à la Décision, Press Universitaires de Valenciennes. Keyword(s): agrégation multicritère, méthodes ordinales, points de références. [bibtex-entry]



41. C. Araz and I. Ozkarahan. F-PROMETHEE TRI and F-PROMSORT: Fuzzy multicriteria sorting procedures, 2006. [bibtex-entry]



42. N. Belacel and R. Richard. DSS site tools version 1.0. European Working Group ``Multicriteria Aid for Decisions'', 2006. Note: Newsletter, Nº 13 (3), p. 19-22. [bibtex-entry]

1. J. Figueira, S. Greco, and M. Ehrgott, editors. Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science. Springer, New York, 2005. [bibtex-entry]



2. F. Pasiouras, S. Tanna, and C. Zopounidis. Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets, volume 5 of Series on Computers and Operations Research. World Scientific Publishing Co., UK, 2005. [bibtex-entry]



3. F. Pasiouras. Development of Bank Acquisition Targets Prediction Models. PhD Thesis, Coventry Business School, Coventry University, UK, 2005. [bibtex-entry]



4. J. Figueira, V. Mousseau, and B. Roy. ELECTRE methods. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 4, pages 133-162. Springer, New York, 2005. Keyword(s): multiple criteria decision aiding, outranking approaches, ELECTRE methods. [bibtex-entry]



5. S. Greco, B. Matarazzo, and R. Słowiński. Decision Rule Approach. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 13, pages 507-562. Springer, New York, 2005. Keyword(s): dominance, rough sets, decision rules, multiple criteria classification, choice and ranking. [bibtex-entry]



6. P. Meyer and M. Roubens. Choice, Ranking and Sorting in Fuzzy Multiple Criteria Decision Aid. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 12, pages 471-506. Springer, New York, 2005. Keyword(s): aggregation with fuzzy environment, fuzzy choice, ordinal ordered sorting, Choquet integral, TOMASO. [bibtex-entry]



7. H. Moshkovich, A. Mechitov, and D. Olson. Verbal decision analysis. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 15, pages 609-637. Springer, New York, 2005. Keyword(s): decision analysis, multiple criteria, ordinal judments, preference elicitation, ZAPROS, ORCLASS. [bibtex-entry]



8. B. Roy. Paradigms and challenges. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, Chapter 1, pages 3-24. Springer, New York, 2005. Keyword(s): multiple criteria decision aiding, imperfect knowledge, aggregation procedures. [bibtex-entry]



9. Y. Siskos, E. Grigoroudis, and N. Matsatsinis. UTA Methods. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 8, pages 297-344. Springer, New York, 2005. Keyword(s): UTA methods, preference disaggregation, ordinal regression, additive utility, multicriteria analysis. [bibtex-entry]



10. H. Weistroffer, C. Smith, and S. Narula. Multiple criteria decision support software. In J. Figueira, S. Greco, and M. Ehrgott, editors, Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research & Management Science, chapter 24, pages 989-1018. Springer, New York, 2005. Keyword(s): decision support systems, MCDSS, Software packages, ELECTRE TRI, IRIS, PREFDIS, ORCLASS, TOMASO, FINCLAS. [bibtex-entry]



11. M. Öztürk, A. Tsoukiàs, and Ph. Vincke. Preference modelling. In Multiple Criteria Decision Analysis: State of the Art Surveys, volume 78 of International Series in Operations Research and Management Science, Chapter 2, pages 27-71. Springer, New York, 2005. Keyword(s): preference modelling, decision aiding, uncertainty, fuzzy sets, non classical logic, ordered relations, binary relations. [bibtex-entry]



12. G. Alexe, S. Alexe, D. Axelrod, P. Hammer, and D. Weissmann. Logical analysis of diffuse large B-cell lymphomas. Artificial Intelligence in Medicine, 34(3):235-267, 2005. Keyword(s): logical analysis of data, patterns, combinatorial biomarkers, diffuse large B-cell lymphoma, follicular lymphoma, diagnosis, prognosis. [bibtex-entry]



13. M. Augusto, J. Figueira, J. Lisboa, and M. Yasin. A performance assessment approach to the pursuit of competitiveness excellence: Methodology and a framework for implementation. Journal of Global Competitiveness, 13(1-2):25-36, 2005. Keyword(s): competitiveness, performance assessment, multiple criteria. [bibtex-entry]



14. M. Augusto, J. Figueira, J. Lisboa, and M. Yasin. An application of a multi-criteria approach to assessing the performance of Portugal's economic sector: Methodology, analysis and implications. European Business Review, 17(2):113-132, 2005. Keyword(s): decision making, economics, Portugal. [bibtex-entry]



15. N. Belacel, Q. Wang, and R. Richard. Web-integration of PROAFTN methodology for acute leukemia diagnosis. Telemedicine Journal and e-Health, 11(6):652-659, 2005. [bibtex-entry]



16. M. Beynon. A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem. European Journal of Operational Research, 167:493-517, 2005. [bibtex-entry]



17. D. Bouyssou and M. Pirlot. A characterization of concordance relations. European Journal of Operational Research, 167(2):427-443, 2005. Keyword(s): multiple criteria analysis, concordance, outranking methods, conjoint measurement, nontransitive preferences. [bibtex-entry]



18. D. Bouyssou and M. Pirlot. Following the traces: An introduction to conjoint measurement without transitivity and additivity. European Journal of Operational Research, 163(2):287-337, 2005. Note: Invited Review. Keyword(s): multiple criteria analysis, decision analysis, measurement theory, conjoint measurement, nontransitive preferences. [bibtex-entry]



19. R. Coelho and Ph. Bouillard. A multicriteria evolutionary algorithm for mechanical design optimization with expert rules. International Journal for Numerical Methods in Engineering, 62(4):516-536, 2005. Keyword(s): structural optimization, mechanical design, expert systems, evolutionary algorithms. [bibtex-entry]



20. J. Dombi and A. Zsiros. Learning multicriteria classification models from examples: Decision rules in continuous space. European Journal of Operational Research, 160(3):663-675, 2005. Keyword(s): multiple criteria analysis, classification, artificial intelligence, decision trees, fuzzy sets. [bibtex-entry]



21. M. Doumpos and F. Pasiouras. Developing and testing models for replicating credit ratings: A multicriteria approach. Computational Economics, 25:327-341, 2005. Keyword(s): credit rating, classification, model testing, multicriteria decision aid. [bibtex-entry]



22. H. Essaqote, N.-E. Zahid, M. Limouri, and A. Essaid. A new approach for unsupervised classification. 4OR: A Quarterly Journal of Operations Research, 3(1):39-49, 2005. Keyword(s): unsupervised classification, unidimensional histograms, concave segment, mode detection. [bibtex-entry]



23. Ch. Gaganis, F. Pasiouras, and A. Tzanetoulakos. A comparison and integration of classification techniques for the prediction of small UK firms failure. The Journal of Financial Decision Making, 1(1):61-75, 2005. [bibtex-entry]



24. Ch. Gaganis, F. Pasiouras, and C. Zopounidis. A multi-group hierarchical discrimination approach for the identification of financial distressed firms: Evidence from Greece. Southeuropean Review of Business Finance & Accounting, 3(1), 2005. Note: In Press. Keyword(s): bankruptcy, financial distress, multicriteria decision aid, M.H.DIS. [bibtex-entry]



25. A. Goktepe, S. Altun, and A. Sezer. Soil clustering by fuzzy c-means algorithm. Advances in Engineering Software, 36(10):691-698, 2005. Keyword(s): fine grained soils, fuzzy c-means, hard k-means, clustering. [bibtex-entry]



26. N. Kalogeras, G. Baourakis, C. Zopounidis, and G. van Dijk. Evaluating the financial performance of agri-food firms: A multicriteria decision-aid approach. Journal of Food Engineering, 70(3):365-371, 2005. Keyword(s): financial performance, data-analysis, multicriteria decision-aid. [bibtex-entry]



27. D. Koulouriotis, I. Diakoulakis, D. Emiris, and C. Zopounidis. Development of dynamic cognitive networks as complex systems approximations: Validation in financial time series. Applied Soft Computing, 5(2):157-179, 2005. [bibtex-entry]



28. R.-J. Kuo, H.-S. Wang, T.-L. Hu, and S.-H. Chou. Application of ant k-means on clustering analysis. Computers & Mathematics with Applications, 50(10-12):1709-1724, 2005. Keyword(s): data mining, clustering analysis, ant colony optimization. [bibtex-entry]



29. J.-L. Marichal, P. Meyer, and M. Roubens. Sorting multi-attribute alternatives: The TOMASO method. Computers & Operations Research, 32(4):861-877, 2005. Keyword(s): multi-attribute decision-making, ordinal data, interacting points of view, Choquet integral, TOMASO. [bibtex-entry]



30. F. Martìnez Roget and X. Rodrìguez Ganzález. Asignación de ayudas públicas mediante ELECTRE TRI: Una aplicación al turismo rural en Galicia. Estudios de Economìa Aplicada, 23(1):1-24, 2005. [bibtex-entry]



31. Y. Marzouk and A. Ghoniem. K-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical N-body simulations. Journal of Computational Physics, 207(2):493-528, 2005. Keyword(s): k-means clustering, treecode, n-body problems, hierarchical methods, parallel processing, load balancing, particle methods, vortex methods, three-dimensional flow, transverse jet. [bibtex-entry]



32. B. Mohanty and B. Bhasker. Product classification in the Internet business: A fuzzy approach. Decision Support Systems, 38(4):611-619, 2005. Keyword(s): Internet, fuzzy sets, linguistic quantifier, hierarchical level, product attributes, product classification. [bibtex-entry]



33. H. Nakayama, Y. Yun, T. Asada, and M. Yoon. MOP/GP models for machine learning. European Journal of Operational Research, 166(3):756-768, 2005. Keyword(s): data mining, machine learning, linear classifier with maximal margin, support vector machine, goal programming. [bibtex-entry]



34. Z. Pawlak. Some remarks on conflict analysis. European Journal of Operational Research, 166(3):649-654, 2005. Keyword(s): conflict analysis, rough sets, decision analysis. [bibtex-entry]



35. A. Salappa, M. Doumpos, and C. Zopounidis. Feature selection algorithms in classification problems: An experimental evaluation. Foundations of Computing and Decision Sciences, 30(4):331-349, 2005. Keyword(s): feature selecion, pattern recognition, decision analysis, performance evaluation. [bibtex-entry]



36. G. Samaras, N. Matsatsinis, and C. Zopounidis. Towards an intelligent decision support system for portfolio management. Foundations of Computing and Decision Sciences, 30(2), 2005. [bibtex-entry]



37. J. Tian, L. Zhu, S. Zhang, and L. Liu. Improvement and parallelism of k-means clustering algorithm. Tsinghua Science & Technology, 10(3):277-281, 2005. Keyword(s): data mining, cluster analysis, k-means algorithm, parallelism. [bibtex-entry]



38. H. Trinkaus and T. Hanne. knowCube: A visual and interactive support for multicriteria decision making. Computers & Operations Research, 32(5):1289-1309, 2005. Keyword(s): multicriteria decision making, knowledge management, decision support systems, visual interfaces, interactive navigation, real-life applications. [bibtex-entry]



39. C.-A. Tsai, T.-C. Lee, I.-C. Ho, U.-C. Yang, C.-H. Chen, and J. Chen. Multi-class clustering and prediction in the analysis of microarray data. Mathematical Biosciences, 193(1):79-100, 2005. Keyword(s): bagged clustering, bagging fuzzy clustering, gene selection, k-nn classification, rand statistic, shaded similarity matrix plot. [bibtex-entry]



40. H. Wang, S. Kwong, Y. Jin, W. Wei, and K. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems, 149(1):149-186, 2005. Keyword(s): interpretability, hierarchical chromosome formulation, fuzzy rule base simplification, multi-objective decision making, recursive least square method. [bibtex-entry]



41. D. West, P. Mangiameli, R. Rampal, and V. West. Ensemble strategies for a medical diagnostic decision support system: A breast cancer diagnosis application. European Journal of Operational Research, 162(2):532-551, 2005. Keyword(s): decision support systems, medical informatics, neural networks, bootstrap aggregate models, ensemble strategies. [bibtex-entry]



42. L. Benabbou, A. Guitouni, and N. Belacel. Algorithme d'apprentissage pour inférer les paramètres de la méthode PROAFTN. In Administrative Sciences Association of Canada Conference 2004 (ASAC 2004), Québec, Canada, 2005. Keyword(s): PROAFTN. [bibtex-entry]



43. D. Bouyssou and Th. Marchant. An axiomatic approach to ELECTRE TRI. In J.-P. Barthélemy and P. Lenca, editors, Advances in multicriteria decision aid / Progrès en aide multicritère à la décision, Brest, Luxembourg, pages 9-20, 2005. ENST Bretagne, GET / ENST Bretagne. Keyword(s): decision with multiple attributes, sorting, noncompensation, conjoint measurement, ELECTRE TRI, twofold partitions. [bibtex-entry]



44. L. Denoeud, I. Charon, A. Guénoche, and O. Hudry. Classes empiétantes dans un graphe e application aux interactions entre protéines. In J.-C. Billalit and C. Esswein, editors, ROADEF'05 - 6ème Congrès, volume 1, France, pages 393-408, 2005. Société Française de Recherche Opérationnelle et d'Aide à la Décision, Presses Universitaires François Rabelais. Keyword(s): bio-informatique, classification, graphe d'interactions. [bibtex-entry]



45. P. Meyer. Use of an ordinal sorting technique (TOMASO) in stock selection. In J.-P. Barthélemy and P. Lenca, editors, Advances in Multicriteria Decision Aid / Progrès en Aide Multicritère à la Décision, Brest, Luxembourg, pages 110-118, 2005. ENST Bretagne, GET / ENST Bretagne. Keyword(s): TOMASO, stock selection, Choquet integral. [bibtex-entry]



46. D. Bouyssou and Th. Marchant. An axiomatic approach to noncompensatory sorting methods in MCDM II: More than two categories. Cahier du LAMSADE 230, Université Paris-Dauphine, Paris, France, 2005. Keyword(s): decision with multiple attributes, sorting, noncompensation, conjoint measurement, ELECTRE TRI. [bibtex-entry]



47. D. Bouyssou and Th. Marchant. An axiomatic approach to noncompensatory sorting methods in MCDM, I: The case of two categories. Cahier du LAMSADE 229, Université Paris-Dauphine, Paris, France, 2005. Keyword(s): decision with multiple attributes, sorting, noncompensation, conjoint measurement, ELECTRE TRI, twofold partitions. [bibtex-entry]



48. D. Bouyssou and M. Pirlot. Further results on concordance relations. Cahier du LAMSADE 231, Université Paris-Dauphine, Paris, France, 2005. Keyword(s): multiple criteria analysis, concordance, outranking methods, conjoint measurement, nontransitive preferences. [bibtex-entry]



49. M. Kumar and N. Patel. Clustering data with measurement errors. Technical report RRR 12-2005, RUTCOR, Rutgers Center for Operations Research, New Jersey, 2005. [bibtex-entry]



50. C. Rocha and L. C. Dias. An idea for ordinal sorting based on ELECTRE without category limits. Rechearch Report 9, INESC Coimbra, Coimbra, Portugal, 2005. Keyword(s): multi-criteria decision aiding, sorting, ELECTRE, aggregation/disaggregation. [bibtex-entry]



51. T. Tervonen, J. Almeida Dias, J. Figueira, R. Lahdelma, and P. Salminen. SMAA-TRI: A parameter stability analysis method for ELECTRE TRI. Research Report 6, INESC Coimbra, Coimbra, Portugal, 2005. Keyword(s): SMAA-TRI, multiple criteria decision aiding (MCDA), ELECTRE TRI, stochastic multicriteria acceptability analysis (SMAA), stability analysis, robust conclusions. [bibtex-entry]

1. K. Kosmidou and C. Zopounidis. Goal Programming Techniques for Bank Asset Liability Management. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2004. [bibtex-entry]



2. N. Belacel. La méthodologie de l'aide multicritère à la décision pour les problèmes de l'aide au diagnostique médical. In P. Dougoulet and M. Fieshi, editors, Technologies de l'Information et de la Communication pour les Pratiques Médicales, Collection Informatique et Santé, chapter 16, pages 295-304. Springer-Verlag, France, 2004. [bibtex-entry]



3. N. Belacel. The k-closest resemblance approach for multiple criteria classification problems. In L.-T. Hoai and P. Tao, editors, Modelling, Computation and Optimization Information and Management Sciences, pages 525-534. Hermes Sciences Publishing, 2004. [bibtex-entry]



4. F. Sobrado, J. Pikatza, I. Larburu, J. Garcia, and D. Ipiña. Towards a clinical practice guideline implementation for asthma treatment. In R. Conejo, M. Urretavizcaya, and J.-L. Pérez-de-la-Cruz, editors, Current Topics in Artificial Intelligence, volume 3040 of Lecture Notes in Computer Science (subserires: Lecture Notes in Artificial Intelligence ), pages 587-596. Springer, Berlin, Heidelberg, 2004. Note: 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and 5th Conference on Technology Transfer, TTIA 2003, San Sebastian, Spain, November 12-14, 2003. Revised Selected Papers. [bibtex-entry]



5. A. Amo, J. Montero, G. Biging, and V. Cutello. Fuzzy classification systems. European Journal of Operational Research, 156(2):495-507, 2004. Keyword(s): classification, fuzzy sets, fuzzy partition, multicriteria analysis. [bibtex-entry]



6. J.-P. Barthélemy, F. Brucker, and C. Osswald. Combinatorial optimization and hierarchical classifications. 4OR: A Quarterly Journal of Operations Research, 2(3):179-219, 2004. Keyword(s): hierarchical classification, quasi-hierarchies, rigid hypergraphs, complexity, clustering algorithms, subdominant. [bibtex-entry]



7. N. Belacel and M. Boulassel. Multicriteria fuzzy classification procedure PROCFTN: Methodology and medical application. Fuzzy Sets and Systems, 141(2):203-217, 2004. Keyword(s): multicriteria decision aid, classification, fuzzy sets, fuzzy binary relations, scoring function, astrocytic tumour, medical diagnosis, PROCFTN. [bibtex-entry]



8. N. Belacel, M. Cuperlovic-Culf, M. Laflamme, and R. Ouelette. Fuzzy J-means and VNS methods for clustering genes from microarray data. Bioinformatics Journal, 20:1690-1701, 2004. [bibtex-entry]



9. D. Bouyssou and M. Pirlot. 'Additive difference' models without additivity and subtractivity. Journal of Mathematical Psychology, 48:263-291, 2004. Keyword(s): conjoint measurement, nontransitive preferences, additive difference model, cancellation conditions. [bibtex-entry]



10. D. Bouyssou and M. Pirlot. Preferences for multiattributed alternatives: Traces, dominance, and numerical representations. Journal of Mathematical Psychology, 48(3):167-185, 2004. Keyword(s): conjoint measurement, nontransitive preferences, decision analysis with multiple attributes, dominance, traces. [bibtex-entry]



11. N. Brunner and M. Starkl. Decision aid systems for evaluating sustainability: A critical survey. Environmental Impact Assessment Review, 24(4):441-469, 2004. Keyword(s): aggregation, axiomatic analysis, feasibility, multi-criteria decision support systems, outranking, social welfare theory, urban water management. [bibtex-entry]



12. Y. De Smet and L. Montano Guzmán. Towards multicriteria clustering: An extension of the k-means algorithm. European Journal of Operational Research, 158(2):390-398, 2004. Keyword(s): multiple criteria analysis, clustering, preference modelling, k-means algorithm. [bibtex-entry]



13. M. Doumpos, K. Kosmidou, and F. Pasiouras. Prediction of acquisition targets in the UK: A multicriteria approach. Operations Research: An International Journal, 4(2):191-211, 2004. [bibtex-entry]



14. M. Doumpos and C. Zopounidis. A multicriteria classification approach based on pairwise comparisons. European Journal of Operational Research, 158(2):378-389, 2004. Keyword(s): multicriteria analysis, classification, preference relation, linear programming. [bibtex-entry]



15. M. Doumpos and C. Zopounidis. Developing sorting models using preference disaggregation analysis: An experimental investigation. European Journal of Operational Research, 154(3):585-598, 2004. Keyword(s): multicriteria analysis, sorting, preference disaggregation, Monte Carlo simulation. [bibtex-entry]



16. M. Gomez Delgado and J. Sendra. Sensitivity analysis in multicriteria spatial decision-making: A review. Human and Ecological Risk Assessment, 10:1173–1187, 2004. Keyword(s): sensitivity analysis, multicriteria evaluation, geographical information systems, noxious facilities, collaborative decision-making. [bibtex-entry]



17. S. Greco, B. Matarazzo, and R. Słowiński. Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules. European Journal of Operational Research, 158(2):271-292, 2004. Keyword(s): multiple-criteria decision making, preference modelling, utility function, conjoint measurement, decision rules, axiomatization. [bibtex-entry]



18. P. Hammer, A. Kogan, B. Simeone, and S. Szedmák. Pareto-optimal patterns in logical analysis of data. Discrete Applied Mathematics, 144(1-2):79-102, 2004. Keyword(s): extremal patterns, data mining, machine learning, classification accuracy, boolean functions. [bibtex-entry]



19. P. Hammer, Y. Liu, B. Simeone, and S. Szedmák. Saturated systems of homogeneous boxes and the logical analysis of numerical data. Discrete Applied Mathematics, 144(1-2):103-109, 2004. Keyword(s): box–clustering, logical data analysis, agglomerative algorithms. [bibtex-entry]



20. H. Ishibuchi and T. Yamamoto. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems, 141(1):59-88, 2004. Keyword(s): data mining, pattern classification, fuzzy rule selection, evolutionary multi-criterion optimization, hybrid genetic algorithms. [bibtex-entry]



21. U. Junker. Preference-Based Search and Multi-Criteria Optimization. Annals of Operations Research, 130:75-115, 2004. Keyword(s): preferences, nonmonotonic reasoning, constraint satisfaction, multi-criteria optimization, search. [bibtex-entry]



22. T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu. A local search approximation algorithm for k-means clustering. Computational Geometry, 28(2-3):89-112, 2004. Keyword(s): clustering, k-means, approximation algorithms, local search, computational geometry. [bibtex-entry]



23. S. Khan and A. Ahmad. Cluster center initialization algorithm for k-means clustering. Pattern Recognition Letters, 25(11):1293-1302, 2004. Note: Short Communication. Keyword(s): k-means clustering, initial cluster centers, cost function, density based multiscale data condensation. [bibtex-entry]



24. K. Kosmidou, M. Doumpos, F. Voulgaris, and C. Zopounidis. Economic and technological aspects of the european competitiveness: A multicriteria approach. Journal of Economic Integration, 19(4), 2004. [bibtex-entry]



25. K. Kosmidou, F. Pasiouras, M. Doumpos, and C. Zopounidis. Foreign versus domestic banks’ performance in the UK: A multicriteria approach. Computational Management Science, 1(3-4):329-343, 2004. [bibtex-entry]



26. K. Kosmidou and C. Zopounidis. Bank asset liability management programming techniques: An overview. Foundations of Computing and Decision Sciences, 29(3):193-204, 2004. [bibtex-entry]



27. K. Kosmidou and C. Zopounidis. Combining goal programming model with simulation analysis for bank asset liability management. Information Systems and Operational Research Journal, 42(3):175-187, 2004. [bibtex-entry]



28. K. Kweku-Muata and O. Osei-Bryson. Evaluation of decision trees: A multi-criteria approach. Computers & Operations Research, 31(11):1933-1945, 2004. Keyword(s): decision tree, evaluation, performance measures, multi-criteria decision analysis. [bibtex-entry]



29. R. Lourenço and J.P. Costa. Using ELECTRE TRI outranking method to sort MOMILP nondominated solutions. European Journal of Operational Research, 153(2):271-289, 2004. Keyword(s): sorting, multiple objective mixed integer linear program. [bibtex-entry]



30. P. Mangiameli, D. West, and R. Rampal. Model selection for medical diagnosis decision support systems. Decision Support Systems, 36(3):247-259, 2004. Keyword(s): model selection, medical diagnosis, neural networks, bootstrap aggregating models, diverse ensembles, baseline ensembles, bagging models. [bibtex-entry]



31. M. Merad, T. Verdel, B. Roy, and S. Kouniali. Use of multi-criteria decision-aids for risk zoning and management of large area subjected to mining-induced hazards. Tunnelling and Underground Space Technology, 19:165-178, 2004. Keyword(s): risk, public safety, subsidence, uncertainty, multi-criteria. [bibtex-entry]



32. M. Michalopoulos, N. Thomaidis, G. Dounias, and C. Zopounidis. Using a fuzzy sets approach to select a portfolio of Greek government bonds. Fuzzy Economic Review, 9(2):27-48, 2004. [bibtex-entry]



33. A. Morrissey and J. Browne. Waste management models and their application to sustainable waste management. Waste Management, 24(3):297-308, 2004. [bibtex-entry]



34. V. Mousseau and L. C. Dias. Valued outranking relations in ELECTRE providing manageable disaggregation procedures. European Journal of Operational Research, 156(2):467-482, 2004. Keyword(s): multiple criteria analysis, valued outranking relations, veto effect, parameter inference procedures, ELECTRE. [bibtex-entry]



35. H. Ono, M. Yagiura, and T. Ibaraki. A decomposability index in logical analysis of data. Discrete Applied Mathematics, 142(1-3):165-180, 2004. Keyword(s): logical analysis of data, boolean functions, decomposable functions, computational learning theory, random graph, probabilistic analysis. [bibtex-entry]



36. K. Pendaraki, M. Doumpos, and C. Zopounidis. Towards a goal programming methodology for constructing equity mutual fund portfolios. Journal of Asset Management, 4(6):415-428, 2004. [bibtex-entry]



37. K. Pendaraki, C. Zopounidis, and M. Doumpos. On the construction of mutual fund portfolios: A multicriteria methodology and an application to the Greek market of equity mutual funds. European Journal of Operational Research, 163(2):462-481, 2004. Keyword(s): mutual funds, multiple criteria analysis, goal programming, UTADIS. [bibtex-entry]



38. R. Ramanathan. ABC inventory classification with multiple-criteria using weighted linear optimization. Computers & Operations Research, 2004. Keyword(s): ABC inventory classification, multiple criteria, weighted linear optimization. [bibtex-entry]



39. J. Sarkis and S. Talluri. Performance based clustering for benchmarking of US airports. Transportation Research Part A: Policy and Practice, 38(5):329-346, 2004. Keyword(s): data envelopment analysis, clustering, benchmarking, performance analysis. [bibtex-entry]



40. H. Schneiderman and T. Kanade. Object Detection Using the Statistics of Parts. International Journal of Computer Vision, 56(3):151-177, 2004. Keyword(s): object recognition, object detection, face detection, car detection, pattern recognition, machine learning, statistics, computer vision, wavelets, classification. [bibtex-entry]



41. S. Sohn and C. Dagli. Ensemble of Evolving Neural Networks in Classification. Neural Processing Letters, 19(3):191-203, 2004. Keyword(s): classification, combining classifiers, data mining, genetic algorithm, neural networks. [bibtex-entry]



42. W.-J. Wang, Y.-X. Tan, J.-H. Jiang, J.-Z. Lu, G.-L. Shen, and R.-Q. Yu. Clustering based on kernel density estimation: nearest local maximum searching algorithm. Chemometrics and Intelligent Laboratory Systems, 72(1):1-8, 2004. Keyword(s): NLMSA, pattern recognition, cluster analysis, kernel density estimation, local optimization. [bibtex-entry]



43. C. Zopounidis, M. Doumpos, and P. Pardalos. Computational Classification Methods for Decision Making. Computational Management Science, 1(3-4):209-343, 2004. [bibtex-entry]



44. N. Belacel, M. Cuperlovic-Culf, and M. Boulassel. The variable neighborhood search metaheuristic for fuzzy clustering CDNA microarray gene expression data. In Proceedings of IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 2004. [bibtex-entry]



45. N. Belacel and A. Ghorbani. Multiagent-based e-hospital, poster, telehealth. In e-Health Care: What Constitutes Return on Investment?, CST-2004-Conference, Vancouver, Canada, 2004. [bibtex-entry]



46. M. Doumpos and C. Zopounidis. An outranking relation approach for classification problems based on pairwise comparisons. In C. Henggeler Antunes, J. Figueira, and J. N. Clímaco, editors, Proceedings of the 56th Meeting of the European Working Group ``Multiple Criteria Decision Aiding'', Coimbra, October 3-5, 2002, Portugal, pages 67-84, 2004. CCDRC, INESC Coimbra, Faculty of Economics of the University of Coimbra. Keyword(s): multicriteria decision aid, classification, outranking relations, linear programming. [bibtex-entry]



47. P. Hammer, A. Kogan, and M. Lejeune. Modeling country risk ratings using partial orders. Technical report RRR 24-2004, RUTCOR, Rutgers Center for Operations Research, New Jersey, USA, 2004. [bibtex-entry]



48. V. Mousseau, L. C. Dias, and J. Figueira. Dealing with inconsistent judgments in multiple criteria sorting models. Research Report 17, INESC Coimbra, Coimbra, Portugal, 2004. Keyword(s): multicriteria decision aiding, sorting, inconsistent judgment, assignment examples, inconsistency analysis for LP. [bibtex-entry]



49. V. Mousseau, L. C. Dias, and J. Figueira. Dealing with inconsistent judgments in multiple criteria sorting models. Cahier du LAMSADE 221, Université Paris-Dauphine, Paris, France, 2004. Keyword(s): multicriteria decision aiding, sorting, inconsistent judgment, assignment examples, inconsistency analysis for LP. [bibtex-entry]



50. X. Wang. Country Risk Classification and Multicriteria Decision-Aid. Master's thesis, McMaster University, Hamilton, Ontario, 2004. [bibtex-entry]



51. J.-L. Marichal, P. Meyer, and M. Roubens. Multiple criteria sorting : TOMASO - A solution in the presence of interacting points of view. Newsletter of the European Working Group ``Multicriteria Aid for Decisions'', Nº 9(3), pages 10-12, 2004. Keyword(s): TOMASO. [bibtex-entry]



52. P. Meyer and M. Roubens. Ordinal sorting in the presence of interacting points of view: TOMASO. In: 25th Linz Seminar on Fuzzy Set Theory, Mathematics of Fuzzy Systems, 2004. Note: Linz, February 3-7 2004, pp. 144-152. Keyword(s): TOMASO. [bibtex-entry]

1. A. Azibi. Construction de Critères en Aide à la Décision : Aspects Méthodologiues, Techniques et Pratiques. Thèse de Doctorat, LAMSADE, Université Paris-Dauphine, Paris, France, 2003. [bibtex-entry]



2. M. Merad. Apport des Méthodes d'Aide Multicritère à la Décision pour l'Analyse et la Gestion des Risques liés aux Mouvements de Terrains Induits par les Ouvrages Souterrains. Thèse de Doctorat, LAMSADE, Université Paris-Dauphine, Paris, France, 2003. [bibtex-entry]



3. L. Montano Guzmán. Fuzzy Measures and Integrals in the MCDA Sorting Problematic: Methodology and Aplications to the Diagnosis of Firms. PhD Thesis, Free University of Brussels, Brussels, Belgium, 2003. [bibtex-entry]



4. V. Mousseau. Elicitation des Préférences pour l'Aide Multicritère à la Décision. Mémoire présenté en vue de l'obtention de l'habilitation à diriger des recherches, Université Paris-Dauphine, Paris, France, 2003. [bibtex-entry]



5. J. Abonyi, J. Roubos, and F. Szeifert. Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. International Journal of Approximate Reasoning, 32(1):1-21, 2003. Keyword(s): classification, fuzzy classifier, decision tree, genetic algorithm, model reduction. [bibtex-entry]



6. F. Aleskerov, H. Ersel, and R. Yolalan. Personnel allocation among bank branches using a two-stage multi-criterial approach. European Journal of Operational Research, 148(1):116-125, 2003. Keyword(s): banking, human resources, workload pattern, multi-criteria analysis, ordinal ranking. [bibtex-entry]



7. H. Altinçay and M. Demirekler. Undesirable effects of output normalization in multiple classifier systems. Pattern Recognition Letters, 24(9-10):1163-1170, 2003. Note: Short Communication. Keyword(s): output score normalization, dimensionality reduction, class separability, output post- processing, measurement level, classifier combination. [bibtex-entry]



8. V. Ananthanarayana, M. Murty, and D. Subramanian. Tree structure for efficient data mining using rough sets. Pattern Recognition Letters, 24(6):851-862, 2003. Note: Short Communication. Keyword(s): PC-tree, single database scan, dynamic mining, segment PC-tree, rough PC-tree, classification, rough sets. [bibtex-entry]



9. A. Azibi and D. Vanderpooten. Aggregation of dispersed consequences for constructing criteria: The evaluation of flood risk reduction strategies. European Journal of Operational Research, 144:397-411, 2003. Keyword(s): multi-criteria analysis, construction of criteria, dispersed consequences, integer programming, environment. [bibtex-entry]



10. E. Boros, T. Ibaraki, and K. Makino. Variations on extending partially defined Boolean functions with missing bits. Information and Computation, 180(1):53-70, 2003. Keyword(s): logical analysis of data, boolean functions, extensions, partially defined Boolean functions, missing bits. [bibtex-entry]



11. S. Bose. Multilayer statistical classifiers. Computational Statistics & Data Analysis, 42(4):685-701, 2003. Keyword(s): classification, cubic splines, discriminant analysis, neural networks, CART, simulation. [bibtex-entry]



12. M. Brusco, J. Cradit, and A. Tashchian. Multicriterion clusterwise regression for joint segmentation settings: An application to customer value. Journal of Marketing Research (JMR), 40(2):225-234, 2003. Keyword(s): market segmentation, marketing, regression analysis, telecommunication. [bibtex-entry]



13. K. Cao-Van and B. Baets. Growing decision trees in an ordinal setting. International Journal of Intelligent Systems, 18:733-750, 2003. [bibtex-entry]



14. Y.-M. Cheung. K*-means: A new generalized k-means clustering algorithm. Pattern Recognition Letters, 24(15):2883-2893, 2003. Note: Short Communication. Keyword(s): clustering analysis, k-means algorithm, cluster number, rival penalization. [bibtex-entry]



15. L. C. Dias and V. Mousseau. IRIS: A DSS for multiple criteria sorting problems. Journal of Multi-Criteria Decision Analysis, 12(4-5):285 - 298, 2003. Keyword(s): decision support systems, sorting, classification, ELECTRE TRI, software. [bibtex-entry]



16. M. Doumpos and C. Zopounidis. Recent operational tools in country risk assessment: An overview. The South European Review of Business Finance and Accounting, 1(2):27-59, 2003. [bibtex-entry]



17. P. Eberhard, F. Dignath, and L. Kübler. Parallel Evolutionary Optimization of Multibody Systems with Application to Railway Dynamics. Multibody System Dynamics, 9(2):143-164, 2003. Keyword(s): parallel evolution strategy, load balancing, optimization of multibody systems, ICE coach, railway dynamics, multicriteria optimization. [bibtex-entry]



18. E. Georgopoulou, Y. Sarafidis, S. Mirasgedis, S. Zaimi, and D. Lalas. A multiple criteria decision-aid approach in defining national priorities for greenhouse gases emissions reduction in the energy sector. European Journal of Operational Research, 146(1):199-215, 2003. Keyword(s): energy, climate change, multiple criteria analysis, ELECTRE TRI. [bibtex-entry]



19. J. Glen. An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis. Computers & Operations Research, 30:181-198, 2003. Keyword(s): discriminant analysis, mathematical programming, variable selection. [bibtex-entry]



20. Y.-C. Hu, R.-S. Chen, and G.-H. Tzeng. Finding fuzzy classification rules using data mining techniques. Pattern Recognition Letters, 24:509-519, 2003. Keyword(s): data mining, fuzzy sets, classification, genetic algorithm. [bibtex-entry]



21. M. Hüsken and P. Stagge. Recurrent neural networks for time series classification. Neurocomputing, 50:223-235, 2003. Keyword(s): recurrent neural network, classification, time series, multitask learning, generalization. [bibtex-entry]



22. T. Khoshgoftaar, Y. Liu, and N. Seliya. Genetic programming-based decision trees for software quality classification. IEEE - The Institute of Electrical and Electronics Engineers, pp 374-383, 2003. Keyword(s): software metrics, genetic programming, decision tree, software quality classification, multiobjective optimization, cost of misclassification. [bibtex-entry]



23. M. Köksalan and C. Ulu. An interactive approach for placing alternatives in preference classes. European Journal of Operational Research, 144(2):429-439, 2003. Keyword(s): multiple criteria, interactive, preference classes. [bibtex-entry]



24. K. Lam and J. Moy. A piecewise linear programming approach to the two-group discriminant problem: An adaptation to Fisher´s linear discriminant function model. European Journal of Operational Research, 145:471-481, 2003. Keyword(s): linear programming, non-linear programming, multivariate statistics, discriminant analysis. [bibtex-entry]



25. K. Lam and J. Moy. A simple weighting scheme for classification in two-group discriminant problems. Computers & Operations Research, 30:155-164, 2003. Keyword(s): classification, discriminant analysis, linear programming, statistics. [bibtex-entry]



26. A. Likas, N. Vlassis, and J. Verbeek. The global k-means clustering algorithm. Pattern Recognition, 36(2):451-461, 2003. Keyword(s): clustering, k-means algorithm, global optimization, k-d trees, data mining. [bibtex-entry]



27. Y. Lu and J. Han. Cancer classification using gene expression data. Information Systems, 28(4):243-268, 2003. Keyword(s): cancer classification, gene expression data. [bibtex-entry]



28. N. Matsatsinis, K. Kosmidou, M. Doumpos, and C. Zopounidis. A fuzzy decision aiding method for the assessment of corporate bankruptcy. Fuzzy Economic Review, 3(1):13-23, 2003. [bibtex-entry]



29. G. Mavrotas, D. Diakoulaki, and P. Capros. Combined MCDA–IP Approach for Project Selection in the Electricity Market. Annals of Operations Research, 120(1):159-170, 2003. Keyword(s): multiple criteria, ELECTRE TRI, integer programming, fractional programming, project selection. [bibtex-entry]



30. A. Mittal and L. Davis. M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene. International Journal of Computer Vision, 51(3):189-203, 2003. Keyword(s): multi-camera tracking, region-based stereo, grouping and segmentation, wide- baseline stereo. [bibtex-entry]



31. D. Modha and W. Spangler. Feature weighting in k-means clustering. Machine Learning, 52(3):217-237, 2003. Keyword(s): clustering, convexity, convex k-means algorithm, feature combination, feature selection, Fisher’s discriminant analysis, text mining, unsupervised learning. [bibtex-entry]



32. V. Mousseau, J. Figueira, L. C. Dias, C. Gomes da Silva, and J. N. Clímaco. Resolving inconsistencies among constraints on the parameters of an MCDA model. European Journal of Operational Research, 147:72-93, 2003. Keyword(s): multiple criteria analysis, inconsistent linear systems, ELECTRE TRI, aggregation/disaggregation, imprecise information, IRIS. [bibtex-entry]



33. S. Pang, D. Kim, and S. Bang. Membership authentication in the dynamic group by face classification using SVM ensemble. Pattern Recognition Letters, 24:215-225, 2003. Keyword(s): membership authentication, Gabor filter, principal component analysis, linear discriminant analysis, support vector machine ensemble. [bibtex-entry]



34. K. Pendaraki, M. Doumpos, and C. Zopounidis. Assessing equity mutual funds performance using a multicriteria methodology: A comparative analysis. South Eastern Europe Journal of Economics, 1(1):85-104, 2003. [bibtex-entry]



35. K. Pentaraki and C. Zopounidis. Evaluation of equity mutual funds’ performance using a multicriteria methodology. Operations Research: An International Journal, 3(1):73-94, 2003. [bibtex-entry]



36. C. Priebe, D. Marchette, J. DeVinney, and D. Socolinsky. Classification using class cover catch digraphs. Journal of Classification, 20:3-23, 2003. Keyword(s): classification, random graph, class cover, prototype selection. [bibtex-entry]



37. J. Roubos, M. Setnes, and J. Abonyi. Learning fuzzy classification rules from labeled data. Information Sciences: An International Journal, 150(1-2):77-93, 2003. Keyword(s): compact fuzzy classifier, linguistic model, genetic algorithm, similarity-driven rule-base reduction, wine data. [bibtex-entry]



38. G. Samaras, N. Matsatsinis, and C. Zopounidis. A multicriteria DSS for a global stock evaluation. Operations Research: An International Journal, 3(3):281-306, 2003. [bibtex-entry]



39. C. Spathis, M. Doumpos, and C. Zopounidis. Using client performance measures to identify pre-engagement factors associated with qualified audit reports in Greece. The International Journal of Accounting, 38(3):267-284, 2003. Keyword(s): qualified audit report, financial statements, multicriteria decision aid, performance measures, Greece. [bibtex-entry]



40. C. Strantza, X. Damaskos, M. Doumpos, and C. Zopounidis. A multicriteria methodology for developing a performance measurement model for bank branches. Operations Research: An International Journal, 3(3):307-323, 2003. [bibtex-entry]



41. D. Subramanian, V. Ananthanarayana, and M. Murty. Knowledge-based association rule mining using AND–OR taxonomies. Knowledge-Based Systems, 16(1):37-45, 2003. Keyword(s): AND node, threshold-based OR node, generalized association rule. [bibtex-entry]



42. I. Tabus, J. Rissanen, and J. Astola. Classification and feature gene selection using the normalized maximum likelihood model for discrete regression. Signal Processing, 83(4):713-727, 2003. Keyword(s): classification, feature selection, gene expression, discrete regression, minimum description length, normalized maximum likelihood. [bibtex-entry]



43. E. Takimoto and A. Maruoka. Top-down decision tree learning as information based boosting. Theoretical Computer Science, 292(2):447-464, 2003. [bibtex-entry]



44. T. Tarpey and K. Kinateder. Clustering functional data. Journal of Classification, 20:93-114, 2003. Keyword(s): Fourier basis, Gaussian random functions, k-means algorithm, mean squared error, principal components, principal points. [bibtex-entry]



45. E. Tartari, M. Doumpos, G. Baourakis, and C. Zopounidis. A stacked generalization framework for the prediction of corporate acquisitions. Foundations of Computing and Decision Sciences, 28(1):41-61, 2003. [bibtex-entry]



46. A. Vieira and N. Barradas. A training algorithm for classification of high-dimensional data. Neurocomputing, 50:461-472, 2003. Keyword(s): classification, learning vector quantization, hidden layer learning vector quantization, feature extraction, rutherford backscattering. [bibtex-entry]



47. F. Von Zuben and L.C.T. Gomes. Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. Journal of Intelligent & Fuzzy Systems, 13(2-4):143-154, 2003. Keyword(s): mathematical optimization, multiple criteria decision making, fuzzy systems, routing- machines, system analysis. [bibtex-entry]



48. F. Voulgaris, M. Doumpos, and C. Zopounidis. The financial profile of Greek manufacturing SMEs through a multivariate statistical methodology. Review of Economic Sciences, 2(4):5-26, 2003. [bibtex-entry]



49. C. Zopounidis and K. Pentaraki. An integrated approach on the evaluation of equity mutual funds’ performance. European Review of Management and Business Economics, 12(1):113-126, 2003. [bibtex-entry]



50. Y. Guan, A. Ghorbani, and N. Belacel. An unsupervised clustering algorithm for intrusion detection: Advances in artificial intelligence. In 16th Conference of the Canadian Society for Computational Studies of Intelligence, Ontario, Canada, pages 616-117, 2003. Halifax, Springer-Verlag. [bibtex-entry]



51. Y. Guan, A. Ghorbani, and N. Belacel. Y-means: A clustering method for intrusion detection. In Canadian Conference on Electrical and Computer Engineering, Montreal, Quebec, Canada, 2003. [bibtex-entry]



52. D. Bouyssou and M. Pirlot. A characterization of concordance relations. Cahier du LAMSADE 211, Université Paris-Dauphine, Paris, France, 2003. Keyword(s): multiple criteria analysis, concordance, outranking methods, conjoint measurement, nontransitive preferences. [bibtex-entry]



53. D. Bouyssou and M. Pirlot. Conjoint measurement tools for MCDM: A brief introduction. Cahier du LAMSADE 210, Université Paris-Dauphine, Paris, France, 2003. Keyword(s): conjoint Measurement, additive value function, preference modelling. [bibtex-entry]



54. D. Bouyssou and M. Pirlot. Following the traces: An introduction to conjoint measurement without transitivity and additivity. Cahier du LAMSADE 209, Université Paris-Dauphine, Paris, France, 2003. Keyword(s): multiple criteria analysis, multiple criteria analysis, measurement theory, conjoint measurement, nontransitive preferences. [bibtex-entry]



55. D. Bouyssou and M. Pirlot. Ordinal aggregation and strict preferences for multi-attributed alternatives. Cahier du LAMSADE 212, Université Paris Dauphine, Paris, France, 2003. Keyword(s): conjoint measurement, ordinal aggregation, nontransitive preferences, noncompensatory preferences. [bibtex-entry]



56. L. C. Dias and V. Mousseau. IRIS- Interactive robustness analysis and parameters' inference for multicriteria sorting problems (Version 2.0) - User manual. Documents en ligne du LAMSADE 128, Université Paris-Dauphine, Paris, France, 2003. [bibtex-entry]



57. L. C. Dias and V. Mousseau. IRIS- Interactive robustness analysis and parameters' inference for multicriteria sorting problems (version 2.0) - User manual. Documents of INESC 1, INESC Coimbra, Coimbra, Portugal, 2003. [bibtex-entry]



58. J. Figueira, Y. De Smet, and J.-P. Brans. MCDA methods for sorting and clustering problems: PROMETHEE TRI and PROMETHEE CLUSTER. Technical report 12, INESC Coimbra, Coimbra, 2003. Keyword(s): multiple criteria decision analysis, sorting, clustering, PROMETHEE methodology. [bibtex-entry]



59. V. Mousseau, L. C. Dias, and J. Figueira. On the notion of category size in multiple criteria sorting models. Cahier du LAMSADE 205, Université Paris-Dauphine, Paris, France, 2003. [bibtex-entry]



60. V. Mousseau, L. C. Dias, and J. Figueira. On the notion of category size in multiple criteria sorting models. DIMACS Research Report 2003-02, Rutgers Univerity, 2003. Keyword(s): multiple criteria decision analysis, sorting, category size. [bibtex-entry]



61. V. Mousseau, L. C. Dias, and J. Figueira. On the notion of category size in multiple criteria sorting models. Research Report 1, INESC Coimbra, Coimbra, Portugal, 2003. Keyword(s): multiple criteria decision analysis, sorting, category size. [bibtex-entry]



62. J. P. Santos, J. F. Oliveira, M. A. Carravilla, and C. Costa. A decision support system for the assessment of higher education degrees in Portugal. European Society for Engineering Education, 2003. Note: SEFI2003 - Global Engineer: Education and Training for Mobility, Porto, Portugal. Keyword(s): decision support systems, higher education degrees, rating. [bibtex-entry]

1. V. Belton and T. Stewart. Multiple Criteria Decision Analysis: An Integrated Approach. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. [bibtex-entry]



2. D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors. Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. [bibtex-entry]



3. M. Doumpos and C. Zopounidis. Multicriteria Decision Aid Classification Methods, volume 73 of Applied Optimization. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. [bibtex-entry]



4. K. Jajuga, A. Sokolowski, and H.-H. Bock, editors. Classification, Clustering and Data Analysis: Recent Advances and Applications, Studies in Classification, Data Analysis & Knowledge Organization. Springer-Verlag, Berlin, 2002. [bibtex-entry]



5. C. Zopounidis. New Trends in Banking Management. Physica-Verlag, Heidelberg, 2002. [bibtex-entry]



6. Z. Pawlak, editor. Theorize with data using rough sets, 26 th Annual International Computer Software and Applications Conference, 2002. IEEE Computer Society, IEEE - The Institute of Electrical and Electronics Engineers. [bibtex-entry]



7. A. Valls. ClusDM: A Multiple Criteria Decision Method for Heterogeneous Data Sets. PhD thesis, Universidad Politécnica de Catalunya, Espana, 2002. Keyword(s): decision making, multiple criteria decision making, statistical decision, decision theory, methodology. [bibtex-entry]



8. R. Bisdorff. Logical foundations of multicriteria preference aggregation. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 379-406. Springer, Formerly Kluwer Academic Publishers, 2002. Keyword(s): multicriteria preference modelling, ELECTRE decision aid methods, concordance principles. [bibtex-entry]



9. D. Bouyssou and M. Pirlot. A characterization of strict concordance relations. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 121-147. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. Keyword(s): MCDM, conjoint measurement, nontransitive preferences, outranking methods, concordance relations. [bibtex-entry]



10. M. Doumpos and C. Zopounidis. On the use of multicriteria classification methods: A simulation study. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 211-228. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. Keyword(s): classification, multicriteria decision aid, Monte Carlo simulation, multivariate statistical analysis, UTADIS. [bibtex-entry]



11. M. Roubens. Ordinal multiattribute sorting and ordering in the presence of interacting points of view. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 229-248. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. Keyword(s): multiattribute decision making, ordinal data, interacting points of view, Choquet integral, TOMASO. [bibtex-entry]



12. Y. Siskos and E. Grigoroudis. Measuring customer satisfaction for various services using multicriteria analysis. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 457-482. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. Keyword(s): customer satisfaction, preference disaggregation, ordinal regression, multicriteria analysis. [bibtex-entry]



13. A. Tsoukiàs, P. Perny, and Ph. Vincke. From concordance / discordance to the modelling of positive and negative reasons in decision aiding. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Słowiński, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, volume 44 of International Series in Operations Research and Management Science, pages 147-174. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2002. Keyword(s): concordance / discordance principles, preference modelling, positive and negative reasons, four-valued logic. [bibtex-entry]



14. A. Azibi and D. Vanderpooten. Construction of rule-based assignment models. European Journal of Operational Research, 138(2):274-293, 2002. Keyword(s): assignment, rules, multiple criteria analysis, integer programming. [bibtex-entry]



15. G. Baourakis, M. Doumpos, N. Kalogeras, and C. Zopounidis. Multicriteria analysis and assessment of financial viability of agri-businesses: The case of marketing co-operatives and juice producing companies. Agribusiness: An International Journal, 18(4):543-558, 2002. [bibtex-entry]



16. I. Becerra-Fernandez, S. Zanakis, and S. Walczak. Knowledge discovery techniques for predicting country investment risk. Computers & Industrial Engineering, 43(4):787-800, 2002. Keyword(s): data mining, knowledge discovery, country investing risk. [bibtex-entry]



17. N. Belacel, P. Hansen, and N. Mladenovic. Fuzzy J-means: A new heuristic for fuzzy clustering. Pattern Recognition, 35(10):2193-2200, 2002. Keyword(s): unsupervised classification, fuzzy clustering, local search, fuzzy c-means, variable neighbourhood search. [bibtex-entry]



18. R. Bisdorff. ELECTRE-like clustering from a pairwise fuzzy proximity index. European Journal of Operational Research, 138(2):320-331, 2002. Keyword(s): multiple criteria analysis, fuzzy clustering, graph theory. [bibtex-entry]



19. E. Boros and P. Hammer. Pseudo-boolean optimization. Discrete Applied Mathematics, 123(1-3):155-225, 2002. [bibtex-entry]



20. D. Bouyssou and M. Pirlot. Nontransitive decomposable conjoint measurement. Journal of Mathematical Psychology, 46:677-703, 2002. Keyword(s): conjoint measurement, cancellations conditions, nontransitive preferences, decomposable models. [bibtex-entry]



21. A. Bröder. Take The Best, Dawes' Rule, and Compensatory Decision Strategies: A Regression-based Classification Method. Quality & Quantity, 36:219-238, 2002. Keyword(s): decision making, take the best, probabilistic inference, hypothesis testing, strategy classification. [bibtex-entry]



22. V. Bugera, H. Konno, and S. Uryasev. Credit cards scoring with quadratic utility functions. Journal of Multi-Criteria Decision Analysis, 11(4-5):197-211, 2002. Keyword(s): credit cards scoring, utility functions, linear programming, classification. [bibtex-entry]



23. B.-C. Chien, J. Lin, and T.-P. Hong. Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Systems with Applications: An International Journal, 23:31-37, 2002. Keyword(s): classification, genetic programming, knowledge discovery, fuzzy sets. [bibtex-entry]



24. J. DeVinney and J. Wierman. A SLLN for a one-dimensional class cover problem. Statistics & Probability Letters, 59:425-435, 2002. Keyword(s): class cover problem, catch disgraphs, domination, poisson process, complete convergence, strong law of large numbers, classification, pattern recognition. [bibtex-entry]



25. K. Dembczynski, S. Greco, and R. Słowiński. Methodology of rough-set-based classification and sorting with hierarchical structure of attributes and criteria. Control & Cybernetics, 31:891-920, 2002. [bibtex-entry]



26. L. C. Dias, V. Mousseau, J. Figueira, and J. N. Clímaco. An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI. European Journal of Operational Research, 138(2):332-348, 2002. Keyword(s): multiple criteria analysis, sorting, aggregation/disaggregation, robustness and sensitivity analysis, IRIS. [bibtex-entry]



27. J.-X. Dong, A. Krzyzak, and C. Suen. Local learning framework for handwritten character recognition. Engineering Applications of Artificial Intelligence, 15:151-159, 2002. Keyword(s): ensemble, learning vector quantization, multilayer neural network, local learning framework, handwritten digits, lowercase characters recognition. [bibtex-entry]



28. M. Doumpos, K. Kosmidou, G. Baourakis, and C. Zopounidis. Credit risk assessment using a multicriteria hierarchical discrimination approach: A comparative analysis. European Journal of Operational Research, 138(2):392-412, 2002. Keyword(s): credit risk assessment, multicriteria decision aid, classification, case study, M.H.DIS. [bibtex-entry]



29. M. Doumpos and C. Zopounidis. Business failure prediction: A comparison of classification methods. Operations Research: An International Journal, 2(3), 2002. [bibtex-entry]



30. M. Doumpos and C. Zopounidis. Multi–criteria classification methods in financial and banking decisions. International Transactions in Operational Research, 9(5):567-581, 2002. [bibtex-entry]



31. M. Doumpos and C. Zopounidis. On the development of an outranking relation for ordinal classification problems: An experimental investigation of a new methodology. Optimization Methods and Software, 17(2):293-317, 2002. Keyword(s): classification, multicriteria decision aid, linear programming, Monte Carlo simulation. [bibtex-entry]



32. M. Doumpos and C. Zopounidis. On the use of a multi-criteria hierarchical discrimination approach for country risk assessment. Journal of Multi-Criteria Decision Analysis, 11(4-5):279-289, 2002. Keyword(s): country risk assessment, classification, preference disaggregation, comparison. [bibtex-entry]



33. M. Doumpos and C. Zopounidis. Rough sets and multivariate statistical classification: A simulation study. Computational Economics, 19(3):287-301, 2002. Keyword(s): classification, rough sets theory, multivariate statistics, Monte Carlo simulation. [bibtex-entry]



34. S. Draghici. On the capabilities of neural networks using limited precision weights. Neural Networks, 15:395-414, 2002. Keyword(s): integer weights, VLSI implementation, VC-complexity. [bibtex-entry]



35. C. Ellwein, S. Danaher, and U. Jäger. Identifying regions of interest in spectra for classification purposes. Mechanical Systems and Signal Processing, 16(2-3):211-222, 2002. [bibtex-entry]



36. S. Foldes and P. Hammer. Disjunctive and conjunctive representations in finite lattices and convexity spaces. Discrete Mathematics, 258(1-3):13-25, 2002. Keyword(s): boolean functions, consensus, resolution, implicants, prime implicants, convexity, Helly property, DNF, CNF. [bibtex-entry]



37. M. González-Araya, L. Rangel, M. Lins, and L. MonteiroGomes. Building the additive utility functions for CAD-UFRJ evaluation staff criteria. Annals of Operations Research, 116(1):271-288, 2002. Keyword(s): multiple criteria decision aid, UTA method, preference structure. [bibtex-entry]



38. S. Greco, B. Matarazzo, and R. Słowiński. Rough sets methodology for sorting problems in presence of multiple attributes and criteria. European Journal of Operational Research, 138(2):247-259, 2002. Keyword(s): rough sets, sorting, classification, multiple criteria decision analysis, decision rules. [bibtex-entry]



39. K. Ha, J. Jo, S.-W. Kim, and J.-B. Lee. Classification of free actions of finite groups on the 3-torus. Topology and its Applications, 121:469-507, 2002. Keyword(s): group actions, bieberbach groups, affine conjugacy. [bibtex-entry]



40. T.-P. Hong, L.-H. Tseng, and S.-L. Wang. Learning rules from incomplete training examples by rough sets. Expert Systems with Applications: An International Journal, 22:285-293, 2002. Keyword(s): knowledge acquisition, rough sets, machine learning, certain rule, possible rule, incomplete data set. [bibtex-entry]



41. Y.-C. Hu, R.-S. Chen, and G.-H. Tzeng. Mining fuzzy association rules for classification problems. Computers & Industrial Engineering, 43:735-750, 2002. Keyword(s): data mining, knowledge acquisition, classification, association rules. [bibtex-entry]



42. E. Kim, W. Kim, and Y. Lee. Combination of multiple classifiers for the customer's purchase behavior prediction. Decision Support Systems, 34:167-175, 2002. Keyword(s): purchase behavior prediction, multiple classifiers, combination, genetic algorithm. [bibtex-entry]



43. Y.-S. Kim, W. Street, and F. Menczer. Evolutionary model selection in unsupervised learning. Intelligent Data Analysis, 6(6):531-558, 2002. Keyword(s): information storage & retrieval systems, evolutionary programming (computer science), heuristic programming. [bibtex-entry]



44. K. Kosmidou and C. Zopounidis. An optimisation scenario methodology for bank asset liability management. Operations Research: An International Journal, 2(2):279-287, 2002. [bibtex-entry]



45. K. Lam and J. Moy. Combining discriminant methods in solving classification problems int two-group discriminant analysis. European Journal of Operational Research, 138:294-301, 2002. Keyword(s): linear programming, goal programming, multivariate statistics, classification, combining, discriminant analysis. [bibtex-entry]



46. O. Larichev, A. Asanov, and Y. Naryzhny. Effectiveness evaluation of expert classification methods. European Journal of Operational Research, 138(2):260-273, 2002. Keyword(s): multiple criteria analysis, multicriteria classification, expert knowledge, complete and non-contradictory knowledge base, monotone function decoding, algorithm optimal by Shannon. [bibtex-entry]



47. O. Larichev, A. Kortnev, and D. Kochin. Decision support system for classification of a finite set of multicriteria alternatives. Decision Support Systems, 33(1):13-21, 2002. Keyword(s): decision maker, decision support systems, multicriteria classification problems, ORCLASS. [bibtex-entry]



48. J. Léger and J.-M. Martel. A multicriteria assignment procedure for a nominal sorting problematic. European Journal of Operational Research, 138(2):349-364, 2002. Keyword(s): multicriteria method, nominal sorting problematic, classification, assignment, similarity. [bibtex-entry]



49. J. Malczewski. Fuzzy screening for land suitability analysis. Geographical & Environmental Modelling, 6(1):27-39, 2002. Keyword(s): geographical information systems. [bibtex-entry]



50. J. Mandziuk and L. Shastri. Incremental class learning approach and its application to handwritten digit recognition. Information Sciences: An International Journal, 141:193-217, 2002. Keyword(s): incremental class learning, catastroghic interference problem, supervised learning, spatio-temporal representation, pattern recognition, handwritten digit recognition, neural networks. [bibtex-entry]



51. N. Matsatsinis. CCAS: An intelligent decision support system for credit card assessment. Journal of Multi-Criteria Decision Analysis, 11(4-5):213-235, 2002. Keyword(s): machine learning, rough sets, multi-criteria decision analysis, decision support system, credit cards assessment. [bibtex-entry]



52. H. Moshkovich, A. Mechitov, and D. Olson. Ordinal judgments for comparison of multiattribute alternatives. European Journal of Operational Research, 137:625-641, 2002. [bibtex-entry]



53. A. Ngo The and V. Mousseau. Using assignment examples to infer category limits for the ELECTRE TRI method. Journal of Multi-Criteria Decision Analysis, 11(1):29-43, 2002. Keyword(s): assignment problem, ELECTRE TRI, category limit elicitation, inference procedure. [bibtex-entry]



54. A. Nola, V. Loia, and A. Staiano. An evolutionary approach to spatial fuzzy c-means clustering. Fuzzy Optimization and Decision Making, 1:195-219, 2002. Keyword(s): clustering algorithm, fuzzy c-means, fuzzy sets, genetic algorithm, Java language. [bibtex-entry]



55. M. F. Norese and S. Viale. A multi-profile sorting procedure in the public administration. European Journal of Operational Research, 138(2):365-379, 2002. Keyword(s): multiple criteria analysis, sorting, multi-profile intersecting reference set, decision aiding, decision support systems. [bibtex-entry]



56. H. Ono, K. Makino, and T. Ibaraki. Logical analysis of data with decomposable structures. Theoretical Computer Science, 289(2):977-995, 2002. Keyword(s): logical analysis of data, boolean functions, decomposable functions, artificial intelligence, approximation algorithms. [bibtex-entry]



57. R. Pavur. A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification probelm. European Journal of Operational Research, 136:603-615, 2002. Keyword(s): Monte Carlo simulation, classification, mathematical programming, multivariate statistics. [bibtex-entry]



58. Z. Pawlak. Rough sets and intelligent data analysis. Information Sciences: An International Journal, 147(1-4):1-12, 2002. [bibtex-entry]



59. Z. Pawlak. Rough sets, decision algorithms and Bayes' theorem. European Journal of Operational Research, 136:181-189, 2002. Keyword(s): rough sets, decision analysis, decision support systems, Bayes' theorem. [bibtex-entry]



60. P. Pendharkar. A Computational study on the performance of artificial neural networks under changing structural design and data distribution. European Journal of Operational Research, 138:155-177, 2002. Keyword(s): artificial neural networks, discriminant analysis. [bibtex-entry]



61. P. Pendharkar. A potencial use of data envelopment analysis for the inverse classification problem. Omega - The International Journal of Management Science, 30:243-248, 2002. Keyword(s): classification, data envelopment analysis, linear programming, discriminant analysis. [bibtex-entry]



62. F. Questier, I. Arnaut-Rollier, B. Walczak, and D. Massart. Application of rough set theory to feature selection for unsupervised clustering. Chemometrics and Intelligent Laboratory Systems, 63:155-167, 2002. Keyword(s): rough sets, unsupervised clustering, feature selection, Wallace measure. [bibtex-entry]



63. A. Radzikowsk and E. Kerre. A comparative study of fuzzy rough sets. Fuzzy Sets and Systems, 126:137-155, 2002. Keyword(s): fuzzy set theory, rough set theory, fuzzy implicator, fuzzy rough set. [bibtex-entry]



64. J.-C. Royer. An Operational Approach to the Semantics of Classes: Application to Type Checking. Programming and Computer Software, 28(3):127-147, 2002. [bibtex-entry]



65. M. Sarkar. Rough-fuzzy functions in classification. Fuzzy Sets and Systems, 132:353-369, 2002. Keyword(s): fuzzy sets, rough sets, rough-fuzzy sets, membership functions, classification, entropy. [bibtex-entry]



66. Y. Shan, R. Zhao, G. Xu, H. Liebich, and Y. Zhang. Application of probabilistic neural network in the clinical diagnosis of cancers based on clinical chemistry data. Analytica Chimica Acta, 471:77-86, 2002. Keyword(s): classification, cancer, nucleosides, probabilistic neural network. [bibtex-entry]



67. Q. Shen and A. Chouchoulas. A rough-fuzzy approach for generating classification rules. Pattern Recognition, 35:2425-2438, 2002. Keyword(s): pattern classification, rough sets, fuzzy sets, feature selection, rule induction. [bibtex-entry]



68. K.-S. Shin and Y.-J. Lee. A genetic algorithm application in bankruptcy prediction modeling. Expert Systems with Applications: An International Journal, 23(3):321-328, 2002. Keyword(s): genetic algorithm, rule extraction, bankruptcy prediction. [bibtex-entry]



69. C. Spathis, M. Doumpos, and C. Zopounidis. Detecting falsified financial statements: A comparative study using multicriteria analysis and multivariate statistical techniques. The European Accounting Review, 11(3):509-535, 2002. Keyword(s): UTADIS. [bibtex-entry]



70. C. Spathis, K. Kosmidou, and M. Doumpos. Assessing profitability factors in the Greek banking system: A multicriteria methodology. International Transactions in Operational Research, 9:517-530, 2002. Keyword(s): Greek banks, profitability, efficiency, multicriteria decision aid. [bibtex-entry]



71. M. Sun. A multiple objective programming approach for determining faculty salary equity adjustments. European Journal of Operational Research, 138(2):302-319, 2002. Keyword(s): multiple objective programming, multiple criteria decision making, classification, faculty salary, compensation. [bibtex-entry]



72. S. Sánchez, E. Triantaphyllou, and D. Kraft. A feature mining based approach for the classfication of text documents into disjoint classes. Information Processing and Management, 38:583-604, 2002. Keyword(s): document classification, document indexing, vector space model, data mining, one clause at a time (OCAT) algorithm, machine learning. [bibtex-entry]



73. M. Tajine and D. Elizondo. New methods for testing linear separability. Neurocomputing, 47:161-188, 2002. Keyword(s): linear separability, convex hull, perceptron, class of separability. [bibtex-entry]



74. F. Tay and L. Shen. Economic and financial prediction using rough sets model. European Journal of Operational Research, 141(3):641-659, 2002. Keyword(s): rough sets model, economic and financial prediction. [bibtex-entry]



75. R. Toscano and P. Lyonnet. Parameterization of a fuzzy classifier for the diagnosis of an industrial process. Reliability Engineering & System Safety, 77:269-279, 2002. Keyword(s): diagnosis, fuzzy classification, learning, knowledge acquisition. [bibtex-entry]



76. M. Vrahatis, B. Boutsinas, P. Alevizos, and G. Pavlides. The new k-windows algorithm for improving the k-means clustering algorithm. Journal of Complexity, 18(1):375-391, 2002. Keyword(s): k-means clustering algorithm, unsupervised learning, data mining, range search. [bibtex-entry]



77. Z. Xu, J. Liang, C. Dang, and K. Chin. Inclusion degree: A perspective on measures for rough set data analysis. Information Sciences: An International Journal, 141:227-236, 2002. Keyword(s): rough sets, inclusion degree, data analysis, measure. [bibtex-entry]



78. N. Ye and X. Li. A scalable, incremental learning algorithm for classification problems. Computers & Industrial Engineering, 43:677-692, 2002. Keyword(s): data mining, classification, incremental learning, scalability. [bibtex-entry]



79. Y. Yuan, S. Feldhamer, A. Gafni, F. Fyfe, and D. Ludwin. The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: Is this a useful tool?. European Journal of Operational Research, 142(1):152-173, 2002. Keyword(s): fuzzy sets, expert systems, multiple criteria analysis, health services, simulation. [bibtex-entry]



80. L. Zhang, F. Coenen, and P. Leng. Formalising optimal feature weight setting in case based diagnosis as linear programming problems. Knowledge-Based Systems, 15:391-398, 2002. [bibtex-entry]



81. X. Zhou and T. Huang. Relevance feedback in content-based image retrieval: Some recent advances. Information Sciences: An International Journal, 148:129-137, 2002. [bibtex-entry]



82. C. Zopounidis. Preference disaggregation in financial modeling: Basic features and some examples. Operations Research: An International Journal, 1(2):263-284, 2002. [bibtex-entry]



83. C. Zopounidis and M. Doumpos. Multi-criteria decision aid in financial decision making: Methodologies and literature review. Journal of Multi-Criteria Decision Analysis, 11(4-5):167-186, 2002. Keyword(s): multi-criteria decision aid, finance, multiobjective optimization, outranking relations, preference disaggregation, applications. [bibtex-entry]



84. C. Zopounidis and M. Doumpos. Multi-group discrimination using multi-criteria analysis: Illustrations from the field of finance. European Journal of Operational Research, 139(2):371-389, 2002. Keyword(s): discrimination, multicriteria decision aid, preference disaggregation, financial decision making. [bibtex-entry]



85. C. Zopounidis and M. Doumpos. Multicriteria classification and sorting methods: A literature review. European Journal of Operational Research, 138(2):229-246, 2002. Keyword(s): multiple criteria analysis, classification, sorting, utility functions, outranking relations, decision rules, preference disaggregation. [bibtex-entry]



86. M. Doumpos and C. Zopounidis. An outranking relation approach for classification problems based on pairwise comparisons. In J. Figueira, C. Henggeler Antunes, and J. N. Clímaco, editors, 56th Meeting of the European Working Group ``Multiple Criteria Decision Aiding'', Coimbra, October 3-5, Portugal, 2002. Faculdade de Economia da Universidade de Coimbra, INESC Coimbra, FEUC Printing Service. [bibtex-entry]



87. A. Guitouni, B. Brisset, L. Belfares, K. Tiliki, N. Belacel, and C. Poirier. Automatic documents analyzer and classification. In 7th International Command and Control Research and Technology Symposium, 2002. [bibtex-entry]



88. G. Alexe, S. Alexe, P. Hammer, and A. Kogan. Comprehensive vs. comprehensible classifiers in logical analysis of data. Technical report RRR 9-2002, RUTCOR, Rutgers Center for Operations Research, New Jersey, USA, 2002. [bibtex-entry]



89. D. Bouyssou and M. Pirlot. 'Additive difference' models without additivity and subtractivity. Cahier du LAMSADE 206, Université Paris-Dauphine, Paris, France, 2002. Keyword(s): conjoint measurement, nontransitive preferences, additive difference model, cancellation conditions. [bibtex-entry]



90. D. Bouyssou and M. Pirlot. Preferences for multi-attributed alternatives: Traces, dominance, and numerical representations. Cahier du LAMSADE 207, Université Paris-Dauphine, Paris, France, 2002. Keyword(s): conjoint measurement, nontransitive preferences, decision analysis with multiple attributes, dominance, traces. [bibtex-entry]



91. V. Mousseau and L. C. Dias. Inferring ELECTRE's veto-related parameters from outranking examples. Research Report 5, INESC Coimbra, Coimbra, Portugal, 2002. Keyword(s): parameters inference procedures, valued outranking relations, ELECTRE, discordance, veto. [bibtex-entry]



92. V. Mousseau and L. C. Dias. Inferring ELECTRE's veto-related parameters from outranking examples. Cahier du LAMSADE 198, Université Paris-Dauphine, Paris, France, 2002. Keyword(s): parameters inference procedures, valued outranking relations, ELECTRE, discordance, veto. [bibtex-entry]



93. B. Roy. Présentation et interprétation de la méthode ELECTRE TRI pour affecter des zones dans des catégories de risque. Document du LAMSADE 124, LAMSADE, Université Paris-Dauphine, Paris, France, 2002. [bibtex-entry]



94. L. C. Dias, V. Mousseau, J. Figueira, J. N. Clímaco, and C. Gomes da Silva. IRIS 1.0 Software. European Working Group ``Multicriteria Aid for Decisions'', 2002. Note: Newsletter, Nº 5 (3), p. 4-6. [bibtex-entry]



95. J.-L. Marichal, P. Meyer, and M. Roubens. On a sorting procedure in the presence of qualitative interacting points of view. , 2002. Keyword(s): multi-attribute decision-making, ordinal data, interacting points of view, Choquet integral, TOMASO. [bibtex-entry]

1. C. Zopounidis, P. Pardalos, and G. Baourakis. Fuzzy Sets in Management, Economics and Marketing. World Scientific Publishing Co., Singapore, 2001. [bibtex-entry]



2. C. Zopounidis. Financial applications of multicriteria analysis. In C. Floudas and P. Pardalos, editors, Encyclopedia of Optimization, volume II, pages 114-125. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2001. Keyword(s): finance, investment analysis, multicriteria analysis, decision support, applications. [bibtex-entry]



3. C. Zopounidis. Preference disaggregation approach: Basic features, examples from financial decision making. In C. Floudas and P. Pardalos, editors, Encyclopedia of Optimization, volume IV, pages 344-357. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2001. [bibtex-entry]



4. C. Zopounidis and M. Doumpos. Decision support systems with multiple criteria. In C. Floudas and P. Pardalos, editors, Encyclopedia of Optimization, volume I, pages 382-390. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2001. Keyword(s): decision support systems, multicriteria analysis, multicriteria group decision support systems, intelligent multicriteria decision support systems. [bibtex-entry]



5. C. Zopounidis and M. Doumpos. Multicriteria sorting methods. In C. Floudas and P. Pardalos, editors, Encyclopedia of Optimization, volume III, pages 501-516. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2001. Keyword(s): sorting, multicriteria analysis, goal programming, outranking relation, preference disaggregation. [bibtex-entry]



6. C. Zopounidis and C. Hurson. Portfolio selection and multicriteria analysis. In C. Floudas and P. Pardalos, editors, Encyclopedia of Optimization, volume IV, pages 310-322. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2001. [bibtex-entry]



7. A. Agarwal, J. Davis, and T. Ward. Supporting ordinal four-state classification decisions using neural networks. Information Technology and Management, 2(1):5-26, 2001. Keyword(s): decision support systems, neural networks, ordinal multi-state classification, financial distress. [bibtex-entry]



8. V. Ananthanarayana, M. Murty, and D. Subramanian. An incremental data mining algorithm for compact realization of prototypes. Pattern Recognition, 34(11):2249-2251, 2001. Note: Short Communication. [bibtex-entry]



9. V. Ananthanarayana, M. Murty, and D. Subramanian. Efficient clustering of large data sets. Pattern Recognition, 34(12):2561-2563, 2001. Note: Short Communication. [bibtex-entry]



10. V. Ananthanarayana, M. Murty, and D. Subramanian. Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognition, 34(4):939-941, 2001. Note: Short Communication. [bibtex-entry]



11. N. Belacel and M. Boulassel. Multicriteria fuzzy assignment method: A useful tool to assist medical diagnosis. Artificial Intelligence in Medicine, 21, 2001. Keyword(s): multicriteria decision aid, classification, fuzzy sets, medical applications. [bibtex-entry]



12. N. Belacel and M. Boulassel. Multicriteria fuzzy assignment method: A useful tool to assist medical diagnosis. Artificial Intelligence in Medicine, 21:201-207, 2001. Keyword(s): multicriteria decision aid, classification, fuzzy sets, PROAFTN. [bibtex-entry]



13. N. Belacel, Ph. Vincke, M. Scheiff, and M. Boulassel. Acute leukemia diagnosis aid software using multicriteria fuzzy assignment methodology. Computer Methods and Programs in Biomedicine, 64(2):145-151, 2001. Keyword(s): computer-aided diagnosis, classification, fuzzy sets, fuzzy relations, acute leukemia. [bibtex-entry]



14. S. Bermejo and J. Cabestany. Oriented principal component analysis for large margin classifiers. Neural Networks, 14:1447-1461, 2001. Keyword(s): large margin classifiers, oriented principal component analysis, co-operative learning, principal componet neural networks, learning-to-learn algorithms, feature extraction, online gradient descent, pattern recognition. [bibtex-entry]



15. M. Beynon and M. Peel. Variable precision rough set theory and data discretisation: An application to corporate failure prediction. Omega - The International Journal of Management Science, 29:561-576, 2001. Keyword(s): data mining, failure prediction, FUSINTER data discretisation, rough set theory, variable precision rough set theory. [bibtex-entry]



16. A. Cuevas, M. Febrero, and R. Fraiman. Cluster analysis: A further approach based on density estimation. Computational Statistics & Data Analysis, 36(4):441-459, 2001. Keyword(s): cluster algorithms, density estimates, smoothed bootstrap, level set estimation. [bibtex-entry]



17. R. De and S. Pal. A connectionist model for selection of cases. Information Sciences: An International Journal, 132:179-194, 2001. Keyword(s): case-based reasoning, fuzzy similarity, classification, node growing, node puning. [bibtex-entry]



18. M. Delgado, F. Zuben, and F. Gomide. Hierarchical genetic fuzzy systems. Information Sciences: An International Journal, 136:29-52, 2001. [bibtex-entry]



19. L. Di Lascio, A. Gisolfi, and G. Rosa. A commutative l-monoid for classification with fussy attributes. International Journal of Approximate Reasoning, 26:1-46, 2001. Keyword(s): fuzzy number, monoid, lattice, classical partition, relevance, classification. [bibtex-entry]



20. M. Doumpos, K. Pentaraki, C. Zopounidis, and C. Agorastos. Assessing country risk using a multi–group discrimination method: A comparative analysis. Management Science, 27(8):16-34, 2001. [bibtex-entry]



21. M. Doumpos, S. Zanakis, and C. Zopounidis. Multicriteria preference disaggregation for classification problems with an application to global investing risk. Decision Sciences, 32(2):333-385, 2001. Keyword(s): financial DSS, globalization, investment risk, judgment analysis, mathematical programming, multicriteria decision making, regression, classification, discriminant analysis. [bibtex-entry]



22. M. Doumpos and C. Zopounidis. Assessing financial risks using a multicriteria sorting procedure: The case of country risk assessment. Omega - The International Journal of Management Science, 29(1):97-109, 2001. Keyword(s): classification, country risk, discriminant analysis, multicriteria. [bibtex-entry]



23. M. Doumpos and C. Zopounidis. On the use of multicriteria classification methods: A simulation study. Fuzzy Economic Review, 6(2):37-49, 2001. [bibtex-entry]



24. S. Dreiseitl, L. Ohno-Machado, H. Kittler, S. Vinterbo, H. Billhardt, and M. Binder. A comparison of machine learning methods for the diagnosis of pigmented skin lesions. Journal of Biomedical Informatics, 34, 2001. Keyword(s): machine learning, decision support, image classification, neural networks, support vector machines. [bibtex-entry]



25. S. Greco, B. Matarazzo, and R. Słowiński. Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129(1):1-47, 2001. Keyword(s): multicriteria decision analysis, rough sets, classification, sorting, choice, ranking, decision rules, conjoint measurement. [bibtex-entry]



26. C. Guinot, J. Latreille, D. Malvy, P. Preziosi, P. Galan, S. Hercberg, and M. Tenenhaus. Use of multiple correspondence analysis and cluster analysis to study dietary behaviour: Food consumption questionnaire in the SU.VI.MAX. Cohort. European Journal of Epidemiology, 17:505-516, 2001. Keyword(s): cluster analysis, dietary patterns, food consumption habits, food frequency questionnaire, multiple correspondence analysis, nutritional epidemiology. [bibtex-entry]



27. A. Gómez-Skarmeta, M. Valdés, F. Jiménez, and J. Marìn-Blásquez. Approximative fuzzy rules approaches for classification with hybrid-GA techniques. Information Sciences: An International Journal, 136:193-214, 2001. Keyword(s): fuzzy classifiers, hybrid systems, rules extraction, fuzzy rules tuning, fuzzy hedges. [bibtex-entry]



28. H. Ishibuchi, T. Nakashima, and T. Murata. Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences: An International Journal, 136:109-133, 2001. Keyword(s): pattern classification, fuzzy systems, genetic algorithm, rule extraction. [bibtex-entry]



29. E. Jacquet-Lagrèze and Y. Siskos. Preference disaggregation: 20 years of MCDA experience. European Journal of Operational Research, 130(2):233-245, 2001. Keyword(s): preference disaggregation, multicriteria analysis, goal programming, regression. [bibtex-entry]



30. F. Joerin, M. Thériault, and A. Musy. Using GIS and outranking multicriteria analysis for land-use suitability assessment. International Journal of Geographical Information Science, 15(2):153-174, 2001. Keyword(s): ELECTRE TRI. [bibtex-entry]



31. J. Kangas, A. Kangas, P. Leskinen, and J. Pykäläinen. MCDM methods in strategic planning of forestry on state-owned lands in Finland: Applications and experiences. Journal of Multi-Criteria Decision Analysis, 10(5):257-271, 2001. Keyword(s): forestry decision support, forest management, multi-attribute value function, outranking, participatory planning, statistical analysis. [bibtex-entry]



32. J. Kishore, L. Patnaik, V. Mani, and V. Agrawal. Genetic programming based pattern classification with feature space partitioning. Information Sciences: An International Journal, 131:65-86, 2001. [bibtex-entry]



33. C. Loucopoulos. Three-group classification with unequal misclassification costs: A mathematical programming approach. Omega - The International Journal of Management Science, 29:291-297, 2001. Keyword(s): mathematical programming, discriminant analysis, MBA admissions. [bibtex-entry]



34. R. Major and C. Ragsdale. Aggregating expert predictions in a networked environment. Computers & Operations Research, 28:1231-1244, 2001. Keyword(s): distributed processing, discriminant analysis, two-group classification. [bibtex-entry]



35. N. Matsatsinis and A. Samaras. MCDA and preference disaggregation in group decision support systems. European Journal of Operational Research, 130(2):414-429, 2001. Keyword(s): group decisions, multiple criteria decision aid, information systems, conflict, concessions. [bibtex-entry]



36. N. Michalowski, S. Rubin, R. Słowiński, and S. Wilk. Triage of the child abdominal pain: A clinical algorithm for emergency patient management. Paediatrics and Child Heath, 6(1):23-28, 2001. [bibtex-entry]



37. G. Mihelis, E. Grigoroudis, Y. Siskos, Y. Politis, and Y. Malandrakis. Customer satisfaction measurement in the private bank sector. European Journal of Operational Research, 130:347-360, 2001. Keyword(s): multicriteria analysis, preference disaggregation, ordinal regression, customer satisfaction analysis, MUSA. [bibtex-entry]



38. S. Mitra, P. Mitra, and S. Pal. Evolutionary modular design of rough knowledge-based network using fuzzy attributes. Neurocomputing, 36:45-66, 2001. Keyword(s): soft computing, fuzzy MLP, rough sets, knowledge-based network, genetic algorithm, modular neural network. [bibtex-entry]



39. M. Mojirsheibani. Classifier selection from a totally bounded class of functions. Statistics & Probability Letters, 52:391-400, 2001. Keyword(s): Bayes classifier, misclassification error, Shatter coeficient, Skeleton estimate, regularization, consistency. [bibtex-entry]



40. S. Montes, I. Couso, and P. Gil. One-to-one correspondences between e-partitions, (1-$\epsilon$)-equivalences and $\epsilon$-pseudometrics. Fuzzy Sets and Systems, 124:87-95, 2001. Keyword(s): fuzzy partitions, fuzzy relations, equality between fuzzy subsets, pseudometrics. [bibtex-entry]



41. V. Mousseau, J. Figueira, and J.-P. Naux. Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. European Journal of Operational Research, 130(2):263-275, 2001. Keyword(s): sorting problematic, preference disaggregation, weight elicitation, numerical experiments. [bibtex-entry]



42. M. Pardo, G. Sberveglieri, A. Taroni, F. Masulli, and G. Valentini. Decompositive classification models for Electronic Noses. Analytica Chimica Acta, 446:223-232, 2001. Keyword(s): pattern recognition, ensemble methods, classification tree, output coding, multilayer perception, electronic nose. [bibtex-entry]



43. P. Pendharkar. An empirical study of design and testing of hybrid evolutionary-neural approach for classification. Omega - The International Journal of Management Science, 29:361-374, 2001. Keyword(s): artificial intelligence, artificial neural networks, genetic algorithm, discriminant analysis, classification, learning. [bibtex-entry]



44. M. Ramoni and P. Sebastiani. Robust Bayes classifiers. Artificial Intelligence, 125:209-226, 2001. Keyword(s): Bayes classifier, missing data, probability intervals. [bibtex-entry]



45. V. Ravi, P. Reddy, and H.-J. Zimmermann. Fuzzy rule base generation for classification and its minimization via modified threshold accepting. Fuzzy Sets and Systems, 120(2):271-279, 2001. Keyword(s): fuzzy if-then rule bases, modifed threshold accepting, meta-heuristics, multi objective combinatorial optimization problem. [bibtex-entry]



46. Q. Shen and A. Chouchoulas. FuREAP: A fuzzy - rough estimator of Algae populations. Artificial Intelligence in Engineering, 15:13-24, 2001. Keyword(s): Algae population estimation, fuzzy logic, rough sets, rule induction, dimensionality reduction. [bibtex-entry]



47. P. Srinivasan, M. Ruiz, D. Kraft, and J.-G. Chen. Vocabulary mining for information retrieval: Rough sets and fuzzy sets. Information Processing and Management, 37:15-38, 2001. Keyword(s): vocabulary mining, generalized rough sets, fuzzy sets, multiple vocabulary views, UMLS. [bibtex-entry]



48. M. Vichi and H. Kiers. Factorial k-means analysis for two-way data. Computational Statistics & Data Analysis, 37(1):49-64, 2001. Keyword(s): cluster analysis, factorial model, tandem analysis, k-means algorithm. [bibtex-entry]



49. K. Zaras. Rough approximation of a preference relation by a multi-attribute stochastic dominance for determinist and stochastic evaluation problems. European Journal of Operational Research, 130(2):305-314, 2001. Keyword(s): preferences, multiple attributes, rough set theory, multi-attribute stochastic dominance, decision making. [bibtex-entry]



50. N. Zhong, J. Dong, and S. Ohsuga. Rule discovery by soft induction techniques. Neurocomputing, 36:171-204, 2001. Keyword(s): inductive learning, knowledge discovery, generalization distribution table (GDT), rough sets, soft computing, uncertainty and incompleteness, background knowledge, hybrid system. [bibtex-entry]



51. C. Zopounidis and M. Doumpos. A preference disaggregation decision support system for financial classification problems. European Journal of Operational Research, 130(2):402-413, 2001. Keyword(s): multicriteria analysis, decision support systems, finance, preference disaggregation, credit granting. [bibtex-entry]



52. J. N. Clímaco, L. C. Dias, J. Figueira, C. Gomes da Silva, and V. Mousseau. Resolving inconsistencies among constraints on the parameters of an MCDA model. Cahier du LAMSADE 178, Université Paris-Dauphine, Paris, France, 2001. Keyword(s): IRIS. [bibtex-entry]



53. V. Mousseau and L. C. Dias. Fuzzy outranking relations in ELECTRE providing manageable disaggregation procedures. DIMACS Research Report 2001-27, Rutgers Univerity, 2001. Keyword(s): fuzzy outranking relations, veto effect, parameters inference procedures, ELECTRE. [bibtex-entry]



54. V. Mousseau and L. C. Dias. Valued outranking relations in ELECTRE providing manageable disaggregation procedures. Cahier du LAMSADE 189, Université Paris-Dauphine, Paris, France, 2001. Keyword(s): multiple criteria analysis, valued outranking relations, veto effect, parameter inference procedures, ELECTRE. [bibtex-entry]

1. S. Zanakis, G. Doukidis, and C. Zopounidis. Decision Making: Recent Developments and Worldwide Applications. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2000. [bibtex-entry]



2. C. Zopounidis and M. Doumpos. Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 2000. [bibtex-entry]



3. C. Zopounidis, C. Hurson, and M. Doumpos. Risque-Pays: Evaluation des Aspects Economiques, Sociaux et Politiques. Ed. Economica, Paris, 2000. [bibtex-entry]



4. C. Zopounidis, editor. Decision Making under Uncertainty in the Global Environment of the 21st Century, Proceedings of the VII Congress of SIGEF, Chania, 2000. Technical University of Crete, Editions of the Technical University of Crete. [bibtex-entry]



5. L. Henriet. Systèmes d'évaluation et de classification multicritères pour l'aide à la décision. Construction de modèles et procédures d'affectation. Thése de Doctorat, Université Paris Dauphine, Paris, France, 2000. [bibtex-entry]



6. C. Zopounidis. The use of knowledge based decision support systems in financial modeling. In A. Kent and J. Williams, editors, Encyclopedia of Microcomputers, volume 25. Marcel Dekker, Inc., New York, 2000. [bibtex-entry]



7. C. Arondel and P. Girardin. Sorting cropping systems on the basis of their impact on groundwater quality. European Journal of Operational Research, 127(3):467-482, 2000. Keyword(s): agriculture, cropping system, environment, groundwater quality, multi-criteria analysis. [bibtex-entry]



8. N. Belacel. Multicriteria assignment method PROAFTN: Methodology and medical application. European Journal of Operational Research, 125(1):175-183, 2000. Keyword(s): multicriteria decision analysis, classification, fuzzy assignment, medical diagnosis. [bibtex-entry]



9. N. Belacel and M. Boulassel. PROAFTN: A fuzzy assignment method to grade bladder cancer malignancy using features generated by computer-assisted image analysis. Foundations of Computing and Decision Sciences, 25:37-47, 2000. Keyword(s): PROAFTN. [bibtex-entry]



10. K. Chakrabarty, R. Biswas, and S. Nanda. Fuzziness in rough sets. Fuzzy Sets and Systems, 110:247-251, 2000. Keyword(s): fuzzy sets, a-cut, nearest ordinary set of a fuzzy set, index of fuzziness, entropy in a fuzzy set, rough sets, roughness of a fuzzy set, fuzziness in a rough set. [bibtex-entry]



11. L. Chen, K. Claypool, and E. Rundensteiner. SERFing the web: The Re-Web approach for web re-structuring. World Wide Web, 3(2):95-109, 2000. [bibtex-entry]



12. C.-L. Chen, D. Kaber, and P. Dempsey. A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk. Applied Ergonomics, 31:269-282, 2000. Keyword(s): neural networks, ergonomics, low-back disorders, job classification. [bibtex-entry]



13. L. Chiang, E. Russell, and R. Braatz. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis. Chemometrics and Intelligent Laboratory Systems, 50:243-252, 2000. Keyword(s): Fisher's discriminant analysis, discriminant partial least squares, principal component analysis, dimensionality reduction, multivariate statistics, large scale systems, fault detection, chemometric methods, discriminant analysis, pattern classification. [bibtex-entry]



14. L. C. Dias and J. N. Clímaco. ELECTRE TRI for Groups with Imprecise Information on Parameter Values. Group Decision and Negotiation, 9(5):355-377, 2000. Keyword(s): ELECTRE TRI, decision by consensus, imprecise/partial information, robustness analysis. [bibtex-entry]



15. J. Dona, J. Peláez, A. Holgado, and O. Hidalgo. Analysis of the genetic algorithm Gamic for multicriteria classification of inventories. IEEE - The Institute of Electrical and Electronics Engineers, 2:606-611, 2000. Keyword(s): genetic algorithm, AHP, inventory, rank reversal, multi-criteria analysis. [bibtex-entry]



16. M. Doumpos, S. Zanakis, and C. Zopounidis. Assessing global investing risk: A multicriteria preference disaggregation approach. European Research Studies Journal, 3(3-4):69-94, 2000. [bibtex-entry]



17. M. Doumpos, C. Zopounidis, and T. Anastassiou. A hierarchical discrimination method based on multiple criteria for the assessment of financial risks. Gestion 2000, Belgian Management Magazine, 15(1):147-157, 2000. [bibtex-entry]



18. M. Doumpos, C. Zopounidis, and P. Pardalos. Multicriteria sorting methodology: Application to financial decision problems. Parallel Algorithms and Applications, 15(1-2):113-129, 2000. [bibtex-entry]



19. O. Ekin, S. Foldes, P. Hammer, and L. Hellerstein. Equational characterizations of boolean function classes. Discrete Mathematics, 211(1-3):27-51, 2000. [bibtex-entry]



20. O. Ekin, P. Hammer, and A. Kogan. Convexity and logical analysis of data. Theoretical Computer Science, 244(1-2):95-116, 2000. Keyword(s): partially-defined boolean functions, orthogonal disjunctive normal forms, computational learning theory, classification, polynomial algorithms. [bibtex-entry]



21. M. Flinkman, N. Michalowski, S. Nilsson, R. Słowiński, R. Susmaga, and S. Wilk. Use of rough se analysis to classify Siberian forest ecosystem according to net primary production of phytomass. INFOR - Information Systems & Operational Research, 38(3):145-161, 2000. [bibtex-entry]



22. S. Foldes and P. Hammer. Disjunctive and conjunctive normal forms of pseudo-boolean functions. Discrete Applied Mathematics, 107(1-3):1-26, 2000. [bibtex-entry]



23. E. Gad, A. Atiya, S. Shaheen, and A. El-Dessouki. A new algorithm for learning in piecewise-linear neural networks. Neural Networks, 13:485-505, 2000. Keyword(s): neural networks, convergence, function approximation. [bibtex-entry]



24. J. Galindo and P. Tamayo. Credit risk assessment using statistical and machine learning: Basic methodology and risk modeling applications. Computational Economics, 15(1):107-143, 2000. [bibtex-entry]



25. P. Girardin, C. Bockstaller, and H. Van der Werf. Assessment of potential impacts of agricultural practices on the environment: The AGRO*ECO method. Environmental Impact Assessment Review, 20(2):227-239, 2000. Keyword(s): aralde farming systems, cropping systems, agro-ecological indicator. [bibtex-entry]



26. T.-P. Hong, T.-T. Wang, S.-L. Wang, and B.-C. Chien. Learning a coverage set of maximally general fuzzy rules by rough sets. Expert Systems with Applications: An International Journal, 19:97-103, 2000. Keyword(s): machine learning, fuzzy sets, rough sets, data mining, expert system. [bibtex-entry]



27. H. Ishibuchi and M. Nii. Neural networks for soft decision making. Fuzzy Sets and Systems, 115:121-140, 2000. Keyword(s): neural networks, soft decision, reject option, interval arithmetic, fuzzy arithmetic. [bibtex-entry]



28. F. Joerin and A. Musy. Land management with GIS and multicriteria analysis. International Transations in Operations Research, 7:67-78, 2000. [bibtex-entry]



29. M. Kattan and R. Cooper. A simulation of factors affecting machine learning techniques: An examination of partitioning and class proportions. Omega - The International Journal of Management Science, 28:501-512, 2000. Keyword(s): machine learning, neural networks, ID3, CART, recursive partitioning, simulation. [bibtex-entry]



30. M. Kbir, H. Benkirane, and R. Benslimane. Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules. Pattern Recognition Letters, 21:503-509, 2000. Keyword(s): fuzzy classification problems, fuzzy if-then rules, hierarchical fuzzy partition. [bibtex-entry]



31. O. Larichev and R. Brown. Numerical and verbal decision analysis: Comparison on practical cases. Journal of Multi-Criteria Decision Analysis, 9:263-273, 2000. Keyword(s): ORCLASS. [bibtex-entry]



32. S. Lee. Noisy replication in skewed binary classification. Computational Statistics & Data Analysis, 34:165-191, 2000. Keyword(s): ROC curve, Kullback-Leibler distance. [bibtex-entry]



33. M. Lehtokangas. Determining the number of centroids for CMLP network. Neural Networks, 13:525-531, 2000. Keyword(s): centroid-based multilayer perceptron, simulations, network architecture. [bibtex-entry]



34. M. Liu. Design and Implementation of the ROL Deductive Object-Oriented Database System. Journal of Intelligent Information Systems, 15(2):121-146, 2000. Keyword(s): deductive database systems, object-oriented database systems, query processing, rapid prototyping, rule-based systems. [bibtex-entry]



35. R. Major and C. Ragsdale. An aggregation approach to the classification problem using multiple prediction experts. Information Processing and Management, 36:683-696, 2000. Keyword(s): discriminant analysis, aggregation, binary classification, maximum entropy, binomial weights. [bibtex-entry]



36. M. Mannino and M. Koushik. The cost-minimizing inverse classification problem: A genetic algorithm approach. Decision Support Systems, 29:283-300, 2000. Keyword(s): inverse classification, genetic algorithm, classification systems, sensitivity analysis. [bibtex-entry]



37. S. Martin, M. Kirby, and R. Miranda. Symmetric Veronese classifiers with application to materials design. Engineering Applications of Artificial Intelligence, 13:513-520, 2000. Keyword(s): feature selection, Veronese maps, materials design, pattern classification, support vector machines, kernel selection. [bibtex-entry]



38. U. Maulik and S. Bandyopadhyay. Genetic algorithm-based clustering technique. Pattern Recognition, 33(9):1455-1465, 2000. Keyword(s): genetic algorithm, clustering metric, k-means algorithm, real encoding, Euclidean distance. [bibtex-entry]



39. S. Morasca and G. Ruhe. A hybrid approach to analyze empirical software engineering data and its application to predict module fault-proneness in maintenance. The Journal of Systems and Software, 53:225-237, 2000. Keyword(s): knowledge discovery, hybrid approach, rough sets, logistic regression, empirical case studies, experience factory, fault-proneness, software maintenance. [bibtex-entry]



40. H. Moshkovich, A. Mechitov, and R. Schellenberger. Effectiveness of ordinal information for data mining. IEEE - The Institute of Electrical and Electronics Engineers, pp 1882-1887, 2000. [bibtex-entry]



41. V. Mousseau, R. Słowiński, and P. Zielniewicz. A user-oriented implementation of the ELECTRE TRI method integrating preference elicitation support. Computers & Operations Research, 27(7-8):757-777, 2000. Keyword(s): sorting problem statement, ELECTRE TRI, software implementation, preference elicitation support. [bibtex-entry]



42. W. Nettleton, C. Olson, and D. Wysocki. Paleosol classification: Problem and solutions. Catena, 41:61-92, 2000. Keyword(s): paleosol, paleoenvironment, property-based classification system. [bibtex-entry]



43. M. Ng. A note on constrained k-means algorithms. Pattern Recognition, 33(3):515-519, 2000. Keyword(s): clustering, constraints, k-means algorithm, PCB insertion. [bibtex-entry]



44. M. Pardo, G. Sberveglieri, S. Gardini, and E. Dalcanale. A hierarchical classification scheme for an Electronic Nose. Sensors and Actuators B: Chemical, 69:359-365, 2000. Keyword(s): hierarchical classification, pattern recognition, ANN, Simca, electronic nose. [bibtex-entry]



45. R. Paredes and E. Vidal. A class-dependent weighted dissimilarity measure for nearest neighbor classification problems. Pattern Recognition Letters, 21:1027-1036, 2000. Keyword(s): nearest neighbor classification, weighted dissimilarity measures, iterative optimization, fractional programming. [bibtex-entry]



46. J. Peters, Z. Pawlak, and A. Skowron. A rough set approach to measuring information granules. IEEE - The Institute of Electrical and Electronics Engineers, 2000. Keyword(s): closeness, inclusion, indistinguishability, information granule, measure, rough sets, sensor. [bibtex-entry]



47. K. Raju, L. Duckstein, and C. Arondel. Multicriterion analysis for sustainable water resources planning: A case study in Spain. Water Resources Management, 14(6):435-456, 2000. Keyword(s): ELECTRE TRI, group decision making, irrigation planning, multicriterion decision making, Spain, Sperman rank correlation. [bibtex-entry]



48. V. Ravi, P. Reddy, and H.-J. Zimmermann. Pattern classification with principal component analysis and fuzzy rule bases. European Journal of Operational Research, 126:526-533, 2000. Keyword(s): fuzzy sets, data analysis, feature selection, principal component analysis, modified threshold accepting. [bibtex-entry]



49. V. Ravi and H.-J. Zimmermann. Fuzzy rule based classification with FeatureSelector and modified threshold accepting. European Journal of Operational Research, 123(1):16-28, 2000. Keyword(s): fuzzy sets, feature selection, fuzzy if-then rule bases, modified threshold accepting, meta-heuristics, multiobjective combinatorial optimization problem. [bibtex-entry]



50. K. Ray and J. Ghoshal. Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classsification. Fuzzy Sets and Systems, 112:449-483, 2000. Keyword(s): multidimensional fuzzy implication, multidimensional fuzzy reasoning, pattern classification, multilayer perceptron, genetic algorithm, regularization. [bibtex-entry]



51. J.-L. Sancho, W. Pierson, B. Ulug, A. Figueiras-Vidal, and S. Ahalt. Class separability estimation and incremental learning using boundary methods. Neurocomputing, 35:3-26, 2000. Keyword(s): classification neural systems, class separability estimation, Bayes' error estimation, gradient algorithms, sample selection strategies. [bibtex-entry]



52. R. Sexton and R. Dorsey. Reliable classification using networks: A genetic algorithm and backpropagation comparison. Decision Support Systems, 30:11-22, 2000. Keyword(s): neural networks, genetic algorithm, backpropagation, decision support systems, classification, artificial intelligence. [bibtex-entry]



53. J. Shen, W. Shen, H. Sun, and J. Yang. Fuzzy neural nets with non-summetric p membership functions and applications in signal processing and image analysis. Signal Processing, 80:965-983, 2000. Keyword(s): fuzzy neural network, learning, non-symmetric pi membership function, interpolation, approximation, estimation, classification, texture. [bibtex-entry]



54. C. Spathis, M. Doumpos, and C. Zopounidis. Detecting falsified financial statements using multicriteria analysis: The case of Greece. Foundations of Computing and Decision Sciences, 25(3):193-208, 2000. [bibtex-entry]



55. A. Valls and V. Torra. Using classification as an aggregation tool in MCDM. Fuzzy Sets and Systems, 115(1):159-168, 2000. Keyword(s): decision making, multicriteria analysis, cluster analysis, aggregation operators. [bibtex-entry]



56. F. Voulgaris, M. Doumpos, and C. Zopounidis. On the evaluation of Greek industrial SME's performance via multicriteria analysis of financial ratios. Small Business Economics, 15:127-136, 2000. [bibtex-entry]



57. H. Wang, I. Düntsch, and G. Gediga. Classificatory filtering in decision systems. International Journal of Approximate Reasoning, 23:111-136, 2000. Keyword(s): artificial intelligence, machine learning, rough sets, data filtering, data reduction, decision system, lattice. [bibtex-entry]



58. W. Wenzel, N. Ay, and F. Pasemann. Hyperplane arrangements separating arbitrary vertex classes in n-cubes. Advances in Applied Mathematics, 25:284-306, 2000. Keyword(s): feedforward networks, binary units, classification problems, hypercube, separability, affine oriented hyperplane arrangements, linear codes. [bibtex-entry]



59. C. Zopounidis. Multicriteria decision aid and knowledge-based systems in financial engineering. The Journal of Euro-Asian Management, 5(2):1-25, 2000. [bibtex-entry]



60. C. Zopounidis and M. Doumpos. Building additive utilities for multi-group hierarchical discrimination: The M.H.DIS method. Optimization Methods and Software, 14(3):219-240, 2000. Keyword(s): discrimination, multicriteria decision aid, preference disaggregation, goal programming, M.H.DIS. [bibtex-entry]



61. C. Zopounidis and M. Doumpos. PREFDIS: A multicriteria decision support system for sorting decision problems. Computers & Operations Research, 27(7-8):779-797, 2000. Keyword(s): decision support systems, multiple criteria decision aid, sorting, PREFDIS, UTADIS. [bibtex-entry]



62. R. Östermark. A hybrid genetic fuzzy neural network algorithm designed for classification problems involving several groups. Fuzzy Sets and Systems, 114:311-324, 2000. Keyword(s): hybrid fuzzy neural networks, fuzzy sets, evolutionary computation, multigroup classification. [bibtex-entry]



63. N. Belacel. Une approche du choix flou pour les probèmes de classification multicritère. In Rencontres Francophones sur la logique floue et ses applications, France, pages 37-44, 2000. La Rochelle, CEPADUS-Editions. Keyword(s): multicriteria decision aid, classification, fuzzy sets, scoring function, medical diagnosis. [bibtex-entry]



64. V. Mousseau and J. Figueira. Validation empirique d'une procédure de désagrégation pour la méthode ELECTRE TRI. In Optimisation et Décision, Actes des Deuxièmes Journées Francophones de Recherche Opérationnelle, Francoro'98, Sousse, Tunisie, 4-7 Avril 1998, pages 237-246, 2000. CPU Press. [bibtex-entry]



65. J. N. Clímaco, L. C. Dias, J. Figueira, C. Gomes da Silva, and V. Mousseau. Resolving inconsistencies among constraints on the parameters of an MCDA model. Research Report 7, Faculty of Economics, University of Coimbra, Coimbra, Portugal, 2000. Keyword(s): IRIS. [bibtex-entry]



66. L. C. Dias, V. Mousseau, J. Figueira, and J. N. Clímaco. An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI. Cahier du LAMSADE 174, Université Paris-Dauphine, Paris, France, 2000. Keyword(s): IRIS. [bibtex-entry]



67. A. Ngo The and V. Mousseau. Using assignment examples to infer category limits for the ELECTRE TRI method. Cahier du LAMSADE 168, Université Paris-Dauphine, Paris, France, 2000. Keyword(s): assignment problem, ELECTRE TRI, category limit elicitation, inference procedure. [bibtex-entry]



68. D. Bouyssou and M. Pirlot. A characterization of asymmetric concordance relations, 2000. Keyword(s): MCDM, conjoint measurement, nontransitive preferences, outranking methods, concordance relations. [bibtex-entry]



69. V. Mousseau, R. Słowiński, and P. Zielniewicz. Presentation of the ELECTRE TRI 2.0a software. European Working Group ``Multicriteria Aid for Decisions'', 2000. Note: Newsletter, Nº 2 (3). [bibtex-entry]

1. D. Despotis and C. Zopounidis, editors. Integrating Technology & Human Decisions: Bridging into the 21st Century, volume I of Proceedings of the 5th International Meeting of the Decision Sciences Institute, Athens, 1999. Decision Sciences Institute, European Working Group ``Multicriteria Aid for Decisions''. [bibtex-entry]



2. C. Zopounidis. The use of knowledge based decision support systems in financial modeling. In A. Kent, editor, Encyclopedia of Library and Information Science, volume 64, pages 290-312. Marcel Dekker, Inc., New York, 1999. [bibtex-entry]



3. C. Zopounidis and M. Doumpos. Decision support systems in portfolio management. In M. Helms, editor, Encyclopedia of Management, pages 184-187. Gale Research, 1999. [bibtex-entry]



4. C. Zopounidis and M. Doumpos. Multiple criteria decision making. In M. Helms, editor, Encyclopedia of Management, pages 640. Gale Research, 4th Edition edition, 1999. [bibtex-entry]



5. M. Anthony. Accuracy of techniques for the logical analysis of data. Discrete Applied Mathematics, 96-97:247-257, 1999. [bibtex-entry]



6. N. Bolloju. Decision model formulation of subjective classification problem-solving knowledge using a neuro-fuzzy classifier and its effectiveness. International Journal of Approximate Reasoning, 21:197-213, 1999. Keyword(s): model formulation, fuzzy logic, knowledge discovery, decision modeling, neuro-fuzzy systems, classifications problems. [bibtex-entry]



7. E. Boros, T. Ibaraki, and K. Makino. Logical analysis of binary data with missing bits. Artificial Intelligence, 107(2):219-263, 1999. Keyword(s): knowledge discovery, data mining, logical analysis of data, boolean functions, partial defined boolean functions, missing bits, NP-hardness. [bibtex-entry]



8. J.-Y. Cai. A classification of the probabilistic polynomial time hierarchy under fault tolerant access to oracle classes. Information Processing Letters, 69:167-174, 1999. Keyword(s): computational complexity, fault tolerance, theory of computation. [bibtex-entry]



9. V. Chepoi and D. Dumitrescu. Fuzzy clustering with structural constraints. Fuzzy Sets and Systems, 105:91-97, 1999. Keyword(s): cluster analysis, fuzzy n-means algorithm with structural constraints, multifacility location problem, structure graph. [bibtex-entry]



10. D. Diakoulaki, C. Zopounidis, G. Mavrotas, and M. Doumpos. The use of a preference disaggregation method in energy analysis and policy making. Energy - The International Journal, 24(2):157-166, 1999. Keyword(s): UTADIS. [bibtex-entry]



11. L. C. Dias and J. N. Clímaco. On computing ELECTRE's credibility indices under partial information. Journal of Multi-Criteria Decision Analysis, 8(2):74-92, 1999. Keyword(s): ELECTRE methods, partial information, robustness analysis. [bibtex-entry]



12. A. Dimitras, R. Słowiński, R. Susmaga, and C. Zopounidis. Business failure prediction using rough sets. European Journal of Operational Research, 114(2):263-280, 1999. Keyword(s): business failure prediction, rough set theory, discriminant analysis, decision rules, classification. [bibtex-entry]



13. M. Doumpos, M. Spanos, and C. Zopounidis. On the use of goal programming techniques in the assessment of financial risks. The Journal of Euro-Asian Management, 5(1):83-100, 1999. [bibtex-entry]



14. M. Doumpos and C. Zopounidis. A multicriteria discrimination method for the prediction of financial distress: The case of Greece. Multinational Finance Journal, 3(2):71-101, 1999. [bibtex-entry]



15. O. Ekin, P. Hammer, and A. Kogan. On connected boolean functions. Discrete Applied Mathematics, 96-97:337-362, 1999. Keyword(s): boolean function, disjunctive normal form, monotone, unate, boolean convexity, connectedness, geodetic, recognition, computational complexity. [bibtex-entry]



16. C. Emmanouilidis, A. Hunter, J. MacIntyre, and C. Cox. Multiple-criteria genetic algorithms for feature selection in neuro-fuzzy modeling. IEEE Transactions on Neural Networks, 6:4387-4392, 1999. Keyword(s): multiobjective genetic algorithms, fuzzy models, classification, feature selection, data mining. [bibtex-entry]



17. J. Garreli i Guiu, E. Golobardes i Ribé, E. Bernardó i Mansilla, and X. Llorà i Fàbrega. Automatic diagnosis with genetic algorithms and case-based reasoning. Artificial Intelligence in Engineering, 13:367-372, 1999. Keyword(s): machine learning, genetic algorithm, case-based reasoning, classifier systems, automatic classification, diagnosis, breast cancer. [bibtex-entry]



18. R. Glendinning. Robust shape classification. Signal Processing, 77:121-138, 1999. Keyword(s): shape classification, sub-set autoregression, additive outliers, robust identification, lag selection, fault detection. [bibtex-entry]



19. S. Greco, B. Matarazzo, and R. Słowiński. Rough approximation of a preference relation by dominance relations. European Journal of Operational Research, 117:63-83, 1999. Keyword(s): rough set theory, pairwise comparison table, multi-criteria choice and ranking problems, preference modelling, decision rules. [bibtex-entry]



20. H. Hruschka and M. Natter. Comparing performance of feedforward neural nets and k-means for cluster-based market segmentation. European Journal of Operational Research, 114(2):346-353, 1999. Keyword(s): neural networks, marketing, k-means, cluster analysis, market segmentation. [bibtex-entry]



21. H. Ishibuchi, T. Nakashima, and T. Morisawa. Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets and Systems, 103:223-238, 1999. Keyword(s): pattern classification, fuzzy rule-based systems, fuzzy reasoning, voting schemes. [bibtex-entry]



22. I. Jagielska, C. Matthews, and T. Whitfort. An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems. Neurocomputing, 24:37-54, 1999. Keyword(s): automated knowledge acquisition, fuzzy rule extraction, fuzzy classification systems, neural networks, genetic algorithm, rough sets. [bibtex-entry]



23. E. Keravnou. A Multidimensional and Multigranular Model of Time for Medical Knowledge-Based Systems. Journal of Intelligent Information Systems, 13(1):73-120, 1999. Keyword(s): temporal reasoning, time model, time-axis, multiple granularities. [bibtex-entry]



24. J. Komorowski and A. Ohrn. Modelling prognostic of cardiac tests using rough sets. Artificial Intelligence in Medicine, 15:167-191, 1999. Keyword(s): prognostic methods, model induction, approximate reasoning, rough sets. [bibtex-entry]



25. Y. Li, J.-H. Jiang, Z.-P. Chen, C.-J. Xu, and R.-Q. Yu. A new method based on counterpropagation network algorithm for chemical pattern recognition. Analytica Chimica Acta, 388:161-170, 1999. Keyword(s): pattern recognition, counterpropagation network (CPN), standard linear discriminant analysis (SLDA), backpropagation network (BPN). [bibtex-entry]



26. Y.-H. Liu and J. Dauer. Bicriteria programming with several modern applications. Computers & Industrial Engineering, 37(3):563-580, 1999. Keyword(s): bicriteria programming, genotype selection, pattern recognition, multicriteria optimization. [bibtex-entry]



27. M. Lortie and P. Rizzo. The classification of accident data. Safety Science, 31:31-57, 1999. Keyword(s): accident, first accident report, classification, incident, activity. [bibtex-entry]



28. P. Mangiameli and D. West. An improved neural classification network for the two-group problem. Computers & Operations Research, 26:443-460, 1999. Keyword(s): neural networks, mixture of experts, two-group classification. [bibtex-entry]



29. I. Morlini. Radial basis function networks with partially classified data. Ecological Modelling, 120:109-118, 1999. Keyword(s): classification, discriminant analysis, mixture analysis, radial basis function networks. [bibtex-entry]



30. Z. Pawlak. Rough classification. International Journal of Human-Computer Studies, 51:369-383, 1999. [bibtex-entry]



31. W. Penny and S. Roberts. Bayesian neural networks for classification: How useful is the evidence framework?. Neural Networks, 12:877-892, 1999. Keyword(s): classification, multi-layer perception, bayesian, regularization, feature selection, model selection, committees. [bibtex-entry]



32. L. Rossi, R. Słowiński, and R. Susmaga. Rough set approach to evaluation of stormwater pollution. International Journal of Environment and Pollution, 12(2-3):232-250, 1999. [bibtex-entry]



33. J. Ruiz-Shulcloper and M. Lazo-Cortés. Mathematical algoritms for the supervised classification based on fuzzy partial precedence. Mathematical and Computer Modelling, 29:111-119, 1999. Keyword(s): fuzzy patern recognition problems, fuzzy supervised classification, partial precedence. [bibtex-entry]



34. Y. Shapira and I. Gath. Feature selection for multiple binary classification problems. Pattern Recognition Letters, 20:823-832, 1999. Keyword(s): feature selection, transpose projection, alternative partitions, clustering. [bibtex-entry]



35. Y. Siskos and A. Spyridakos. Intelligent multicriteria decision support: Overview and perspectives. European Journal of Operational Research, 113(2):236-246, 1999. Keyword(s): multicriteria decision support systems. [bibtex-entry]



36. Y. Smith, G. Zajicek, M. Werman, G. Pizov, and Y. Sherman. Similarity measurement method for the classification of architectural differentiated images. Computers and Biomedical Research, 32:1-12, 1999. [bibtex-entry]



37. F. Van Balen, A. Aarts, and R. De Melker. Tympanometry by general practitioners: Reliable?. International Journal of Pediatric Otorhinolaryngology, 48:117-123, 1999. Keyword(s): otitis media with effusion, tympanometry, diagnosis, children, inter-observer agreement. [bibtex-entry]



38. Ph. Vincke. Robust and neutral methods for aggregating preferences into an outranking relation. European Journal of Operational Research, 112(2):405-412, 1999. Keyword(s): multicriteria analysis, robustness, neutrality. [bibtex-entry]



39. C.-H. Wang, J.-F. Liu, T.-P. Hong, and S.-S. Tseng. A fuzzy indutive learning strategy for modular rules. Fuzzy Sets and Systems, 103:91-105, 1999. Keyword(s): expert systems, fuzzy machine learning, fuzzy sets, knowledge acquisition, measure of fuzziness, membership functions. [bibtex-entry]



40. N. Yanev and S. Balev. A Combinatorial approach to the classification problem. European Journal of Operational Research, 115:339-350, 1999. Keyword(s): classification, branch and bound, heuristics. [bibtex-entry]



41. M. Zadeh and P. Nassery. Application of quadratic neural networks to seismic signal classification. Physics on the Earth and Planetary Interiors, 113:103-110, 1999. Keyword(s): neural networks, classification, Prony method, ARMA model. [bibtex-entry]



42. C. Zopounidis. Les approches multicritères en finance. Revue Banque et Marchés, 38:57-62, 1999. [bibtex-entry]



43. C. Zopounidis. Multicriteria decision aid in financial management. European Journal of Operational Research, 119(2):404-415, 1999. Keyword(s): finance, investment analysis, multicriteria analysis, decision support systems, applications. [bibtex-entry]



44. C. Zopounidis. Risque de crédit: De nouveaux systèmes informatiques d’évaluation. Banque Magazine, (605):58-60, 1999. Note: Juillet-Aout. [bibtex-entry]



45. C. Zopounidis and M. Doumpos. A multicriteria decision aid methodology for sorting decision problems: The case of financial distress. Computational Economics, 14(3):197-218, 1999. Keyword(s): bankruptcy risk, discriminant analysis, financial distress, multicriteria decision aid, ordinal regression, sorting, FINCLAS. [bibtex-entry]



46. C. Zopounidis and M. Doumpos. Business failure prediction using the UTADIS multicriteria analysis method. Journal of the Operational Research Society (JORS), 50(11):1138-1148, 1999. [bibtex-entry]



47. C. Zopounidis, M. Doumpos, and S. Zanakis. Stock evaluation using a preference disaggregation methodology. Decision Sciences, 30(2):313-336, 1999. [bibtex-entry]



48. C. Zopounidis, R. Słowiński, M. Doumpos, A. Dimitras, and R. Susmaga. Business failure prediction using rough sets: A comparison with multivariate analysis techniques. Fuzzy Economic Review, 4(1):3-33, 1999. [bibtex-entry]



49. R. Östermark. A fuzzy neural network algorithm for multigroup classification. Fuzzy Sets and Systems, 105(1):113-122, 1999. Keyword(s): artificial intelligence, multicriteria analysis, pattern recognition, hybrid fuzzy neural networks, Fuzzy set theory, multigroup classification. [bibtex-entry]



50. V. Mousseau, R. Słowiński, and P. Zielniewicz. ELECTRE TRI 2.0a: Methodological guide and user's documentation. Document du LAMSADE 111, Université Paris-Dauphine, Paris, France, 1999. [bibtex-entry]

1. A. Rizzi, M. Vichi, and H.-H. Bock, editors. Advances in Data Science and Classification, Studies in Classification, Data Analysis & Knowledge Organization. Springer-Verlag, Berlin, 1998. [bibtex-entry]



2. C. Zopounidis, editor. Operational Tools in the Management of Financial Risks. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1998. [bibtex-entry]



3. C. Zopounidis and A. Dimitras. Multicriteria Decision Aid Methods for the Prediction of Business Failure. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1998. [bibtex-entry]



4. C. Zopounidis and P. Pardalos, editors. Managing in Uncertainty: Theory and Practice. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1998. [bibtex-entry]



5. C. Zopounidis and I. Papadimitriou, editors. Abstracts and Papers of the 47th Meeting of the European Working Group ``Multicriteria Aid for Decisions'', volume I, Chania, 1998. Technical University of Crete, Editions of the Technical University of Crete. [bibtex-entry]



6. C. Zopounidis and I. Papadimitriou, editors. Abstracts and Papers of the 47th Meeting of the European Working Group ``Multicriteria Aid for Decisions'', volume II, Chania, 1998. Technical University of Crete, Editions of the Technical University of Crete. [bibtex-entry]



7. N. Belacel. Méthodes de Classification Multicritère : Méthodologie et Application au Diagnostique Médical. Thése deDoctorat, Université Libre de Bruxelles, Belgique, 1998. Keyword(s): PROAFTN. [bibtex-entry]



8. J.-L. Marichal. Aggregation Operations for Multicriteria Decision Aid. PhD thesis, Department of Mathematics, University of Liège, Liège, Belgium, 1998. [bibtex-entry]



9. P. Allaart. Minimax risk inequalities for the location-parameter classification problem. Journal of Multivariate Analysis, 66:255-269, 1998. Keyword(s): optimal-partioning, minimax risk, classification, partition range, convexity theorem, concentration function, tail concentration. [bibtex-entry]



10. S. Bandyopadhyay, S. Pal, and U. Maulik. Incorporating chromosome differentiation in genetic algorithms. Information Sciences: An International Journal, 104:293-319, 1998. [bibtex-entry]



11. Z. Bonikowski, E. Bryniarski, and U. Wybraniec-Skardowska. Extensions and intentions in the rough set theory. Information Sciences: An International Journal, 107:149-167, 1998. Keyword(s): approximation spaces, representative approximation spaces, rough sets, rough set inclusion, operations on rough sets. [bibtex-entry]



12. C.-C. Chan. A rough set approach to attribute generalization in data mining. Information Sciences: An International Journal, 107:169-176, 1998. Keyword(s): rough sets, data mining, inductive learning. [bibtex-entry]



13. B. Derriks and D. Willems. Negative feedback in information dialogues: Identification, classification and problem- solving procedures. International Journal of Human-Computer Studies, 48:577-604, 1998. [bibtex-entry]



14. M. Doumpos and C. Zopounidis. The use of the preference disaggregation analysis in the assessment of financial risks. Fuzzy Economic Review, 3(1):39-57, 1998. [bibtex-entry]



15. A. Gonzalez and R. Perez. Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets and Systems, 96:37-51, 1998. Keyword(s): machine learning, classification, fuzzy logic, fuzzy rules, genetic algorithm. [bibtex-entry]



16. A. Guitouni and J.-M. Martel. Tentative guidelines to help choosing an appropriate MCDA method. European Journal of Operational Research, 109(2):501-521, 1998. Keyword(s): multicriteria analysis, decision making situation, multicriterion decision aid method, multicriterion aggregation procedure, comparative analysis, preferences modelling, behavioural considerations. [bibtex-entry]



17. H. Guvenir and E. Erel. Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105:29-37, 1998. Keyword(s): computers, genetic algorithm, AHP, inventory, multi-criteria analysis. [bibtex-entry]



18. R. Hammah and J. Curran. Fuzzy cluster algorithm for the automatic identification of joint sets. International Journal for Housing Science and Its Applications, 35(7):889-905, 1998. [bibtex-entry]



19. M. Hintz-Madsen, L. Hansen, J. Larsen, M. Pedersen, and M. Larsen. Neural classifier construction using regularization, pruning and test error estimation. Neural Networks, 11:1659-1670, 1998. Keyword(s): neural classifiers, architcture optimization, regularization, generalization estimation. [bibtex-entry]



20. M. Horváth and G. Lugosi. Scale-sensitive dimensions and skeleton estimates for classification. Discrete Applied Mathematics, 85:37-61, 1998. [bibtex-entry]



21. H. Ishibuchi, T. Murata, and M. Gen. Performance evaluation of fuzzy rule-based classification systems obtained by multi- objective genetic algorithms. Computers & Industrial Engineering, 35(3-4):575-578, 1998. Keyword(s): fuzzy rule-based system, pattern classification, rule selection, genetic algorithm, knowledge acquisition. [bibtex-entry]



22. A. Jackson, Z. Pawlak, and S. LeClair. Rough sets applied to the discovery of materials knowledge. Journal of Alloys and Compounds, 279:14-21, 1998. Keyword(s): material design, rough sets, pyramidal networks. [bibtex-entry]



23. X. Jia and J. Richards. Progressive two-class decision classifier for optimization of class discriminations. Remote Sens. Environ., 63:289-297, 1998. [bibtex-entry]



24. S. Kundu and A. Martinsek. Using a stopping rule to determine the size of the training sample in a classification problem. Statistics & Probability Letters, 37:19-27, 1998. Keyword(s): classification, discrimination, pattern recognition, density estimate, stopping rule. [bibtex-entry]



25. O. Larichev, H. Moshkovich, and S. Rebrik. Systematic research into human behavior in multiattribute object classification problems. Acta Psychologica, 68:171-182, 1998. [bibtex-entry]



26. P. Lattimore, J. Baker, and E. Clayton. A nonlinear multiple criteria model base for the problem of balancing caseload risk in probation departments. Computers & Industrial Engineering, 35(3-4):511-514, 1998. Keyword(s): integer non-linear programming application, goal programming, resource allocation. [bibtex-entry]



27. M. Liu. An Overview of the Rule-Based Object Language. Journal of Intelligent Information Systems, 10(1):5-29, 1998. Keyword(s): deductive object databases, deductive databases, object databases, logic programming, conceptual modeling. [bibtex-entry]



28. D. Magennis, E. Watts, and S. Wright. Convertible notes: The debt versus equity classification problem. Journal of Multinational Financial Management, 8:303-315, 1998. Keyword(s): convertible notes, signalling, event study. [bibtex-entry]



29. N. Maglaveras, T. Stamkopoulos, K. Diamantaras, C. Papas, and M. Strintzis. ECG pattern recognition and classification using non-linear transformations and neural networks: A review. International Journal of Medical Informatics, 52:191-208, 1998. Keyword(s): biomedical signal processing, ECG processing, non-linear principal component analysis, neural networks, ischemia detection. [bibtex-entry]



30. M. Michalopoulos, C. Zopounidis, and M. Doumpos. L’évaluation des succursales d’une banque à l’aide d’une méthode multicritère de segmentation. Revue FINECO, Finance, Economie, Comptabilité, 8(2):123-136, 1998. [bibtex-entry]



31. V. Mousseau and R. Słowiński. Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization, 12(2):157-174, 1998. Keyword(s): multiple criteria decision aid, sorting, ELECTRE TRI, parameters‘ elicitation, inference procedure, optimization. [bibtex-entry]



32. T. Murai, H. Kanemitsu, and M. Shimbo. Fuzzy sets and binary-proximity-based rough sets. Information Sciences: An International Journal, 104:49-80, 1998. [bibtex-entry]



33. B. Nault and V. Storey. Using object concepts to match artificial intelligence techinques to problem types. Information & Management, 34:19-31, 1998. Keyword(s): objects, knowledge representation, frames, production rules, semantic networks, problem types. [bibtex-entry]



34. Z. Pawlak. An inquiry into anatomy of conflicts. Information Sciences: An International Journal, 109:65-78, 1998. Keyword(s): conflict analysis, conflict resolution, decision analysis, rough sets. [bibtex-entry]



35. P. Perny. Multicriteria filtering methods based on concordance and non-discordance principles. Annals of Operations Research, 80:137-165, 1998. Keyword(s): multicriteria decision support, preference modelling, classification, valued binary relations, fuzzy sets. [bibtex-entry]



36. R. Rohwer and M. Morciniec. The theoretical and experimental status of the n-tuple classifier. Neural Networks, 11(1):1-14, 1998. Keyword(s): benchmarking, CMAC code, hamming distance, kanerva model, regression network, n-tuple classifier, review, StatLog. [bibtex-entry]



37. Z. Sinuany-Stern and L. Friedman. Theory and Methodology: DEA and the discriminant analysis of ratios for ranking units. European Journal of Operational Research, 111(3):470-478, 1998. Keyword(s): data envelopment analysis, discriminant analysis, ranking, scaling, multicriteria decision analysis. [bibtex-entry]



38. Y. Siskos, E. Grigoroudis, C. Zopounidis, and O. Saurais. Measuring customer satisfaction using a survey based preference disaggregation model. Journal of Global Optimization, 12(2):175-195, 1998. [bibtex-entry]



39. F. Tamaki, A. Kanagawa, and H. Ohta. Identification of membership functions based on fuzzy observation data. Fuzzy Sets and Systems, 93:311-318, 1998. Keyword(s): identification of membership function, fuzzy observation, fuzzy statistics. [bibtex-entry]



40. S. Tsumoto. Automated extraction of medical expert rules from clinical databases based on rough set theory. Information Systems, 112:67-84, 1998. [bibtex-entry]



41. S. Tsumoto. Extraction of experts' decision rules from clinical databases using rough set model. Intelligent Data Analysis, 2:215-227, 1998. Keyword(s): rough sets, data mining, knowledge discovery in databases, medical knowledge acquisition. [bibtex-entry]



42. B. Wielinga, J. Akkermans, and A. Schreiber. A competence theory approach to problem solving method construction. International Journal of Human-Computer Studies, 49:315-338, 1998. [bibtex-entry]



43. M. Worboys. Computation with imprecise geospatial data. Comput., Environ. and Urban Systems, 22(2):85-106, 1998. [bibtex-entry]



44. Y. Yao. A Comparative study of fuzzy sets and rough sets. Information Sciences: An International Journal, 109:227-242, 1998. Keyword(s): approximation operators, fuzzy sets, model logic, many-valued logic, rough sets. [bibtex-entry]



45. S. Zanakis, A. Solomon, N. Wishart, and S. Dublish. Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, 107(3):507-529, 1998. Keyword(s): multiple criteria analysis, decision theory, utility theory, simulation. [bibtex-entry]



46. C. Zopounidis, D. Despotis, and I. Kamaratou. Portfolio selection using the ADELAIS multiobjective linear programming system. Computational Economics, 11(3):189-204, 1998. [bibtex-entry]



47. C. Zopounidis and M. Doumpos. Developing a multicriteria decision support system for financial classification problems: The FINCLAS system. Optimization Methods and Software, 8(3-4):277-304, 1998. [bibtex-entry]



48. R. Östermark and R. Höglund. Addressing the multigroup discriminant problem using multivariate statistics and mathematical programmning. European Journal of Operational Research, 108:224-237, 1998. Keyword(s): classification, mathematical programming, multivariate statistics, Monte Carlo simulations. [bibtex-entry]



49. B. Roy and J. Figueira. Détermination des poids des critères dans les méthodes de type ELECTRE avec la technique de Simos révisée. Cahier du LAMSADE 109, LAMSADE, Université Paris-Dauphine, Paris, 1998. [bibtex-entry]

1. C. Hurson and C. Zopounidis. Gestion de Portefeuille et Analyse Multicritère. Ed. Economica, Paris, 1997. [bibtex-entry]



2. O. Larichev and H. Moshkovich. Verbal Decision Analysis for Unstructured Problems, number 17 of Series C: Game Theory, Mathematics Programming and Operations Research. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1997. Keyword(s): ORCLASS. [bibtex-entry]



3. C. Zopounidis, editor. New Operational Approaches for Financial Modelling. Physica-Verlag, Berlin Heidelberg, 1997. [bibtex-entry]



4. C. Zopounidis and J. Garcia Vásquez, editors. Managing in Uncertainty, Proceedings of VI International Conference, Vigo, 1997. AEDEM, AEDEM Editions. [bibtex-entry]



5. C. Zopounidis. Décisions financières et analyse multicritère. In Y. Simon and P. Joffre, editors, Encyclopédie de Gestion, volume Tomo I, pages 915-925. Ed. Economica, Paris, 2e Edition edition, 1997. [bibtex-entry]



6. T. Anastassiou and C. Zopounidis. Country risk assessment: A multicriteria analysis approach. The Journal of Euro-Asian Management, 3(1):51-73, 1997. [bibtex-entry]



7. O. Asparoukhov and A. Stam. Mathematical programming formulations for two-group classification with binary variables. Annals of Operations Research, 74:89-112, 1997. Keyword(s): binary variables, classification analysis, discriminant analysis, linear programming, mixed integer programming. [bibtex-entry]



8. C. Bana e Costa, T. Stewart, and J.-C. Vansnick. Multicriteria decision analysis: Some thoughts based on the tutorial and discussion sessions of the ESIGMA meetings. European Journal of Operational Research, 99(1):28-37, 1997. Keyword(s): multicriteria decision analysis. [bibtex-entry]



9. S. Bodjanova. Approcimation of fuzzy concepts in decision making. Fuzzy Sets and Systems, 85:23-29, 1997. Keyword(s): foundations of fuzzy sets, fuzzy rough sets, approximate reasoning, decision making. [bibtex-entry]



10. Y. Crama, O. Ekin, and P. Hammer. Variable and term removal from boolean formulae. Discrete Applied Mathematics, 75(3):217-230, 1997. [bibtex-entry]



11. D. Dubois, H. Prade, F. Esteva, P. Garcia, and L. Godo. A logical approach to interpolation based on similarity relations. International Journal of Approximate Reasoning, 17:1-36, 1997. Keyword(s): fuzzy similarity relations, similarity logic, graded consequence relations, interpolation. [bibtex-entry]



12. I. Düntsch and G. Gediga. Statistical evaluation of rough set dependency analysis. International Journal of Human-Computer Studies, 46:589-604, 1997. [bibtex-entry]



13. O. Ekin, P. Hammer, and U. Peled. Horn functions and submodular boolean functions. Theoretical Computer Science, 175(2):257-270, 1997. [bibtex-entry]



14. V. Gupta, J.-G. Chen, and M. Murtaza. A learning vector quantization neural network model for the classification of industrial construction projects. Omega - The International Journal of Management Science, 25(6):715-727, 1997. Keyword(s): neural networks, construction industry, application, classification, decision making, learning vectr optimization. [bibtex-entry]



15. H. Ishibuchi, T. Murata, and I. Türksen. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems, 89(2):135-150, 1997. Keyword(s): linguistic modeling, pattern recognition, data analysis, genetic algorithm, rule selection. [bibtex-entry]



16. A. Kehagias and V. Petridis. Predictive modular neural networks for time series classification. Neural Networks, 10(1):31-49, 1997. Keyword(s): modular neural networks, hierarchical neural networks, adaptive neural networks, times series, classification, prediction, Bayesian decision rules. [bibtex-entry]



17. P. Lagacherie, D. Cazemier, P. van Gaans, and P. Burrough. Fuzzy k-means clustering of fields in an elementary catchment and extrapolation to a larger area. Geoderma, 77(2-4):197-216, 1997. Keyword(s): hydrology, fuzzy sets, France. [bibtex-entry]



18. P. Lagacherie, D. Cazemier, P. van Gaans, and P. Burrough. Fuzzy k-means clustering of fields in an elementary catchment and extrapolation to a larger area. Geoderma, 77(2-4):197-216, 1997. Keyword(s): hydrology, fuzzy sets, clustering. [bibtex-entry]



19. K. Lam and J. Moy. An experimental comparison of some recently developed linear programming approaches to the discriminant problem. Computers & Operations Research, 24(7):593-599, 1997. [bibtex-entry]



20. C. Loucopoulos and R. Pavur. Computational characteristics of a new mathematical programming model for the three- group discriminant problem. Computers & Operations Research, 24(2):179-191, 1997. [bibtex-entry]



21. N. Matsatsinis, M. Doumpos, and C. Zopounidis. Knowledge acquisition and representation for expert systems in the field of financial analysis. Expert Systems with Applications: An International Journal, 12(2):247-262, 1997. [bibtex-entry]



22. I. Olmeda and E. Fernández. Hybrid classifiers for financial multicriteria decision making: The case of bankruptcy prediction. Computational Economics, 10(4):317-335, 1997. Keyword(s): bankruptcy prediction, artificial neural networks, logit, C4.5, MARS, discriminant analysis, evolutionary programming. [bibtex-entry]



23. Z. Pawlak. Rough set approach to knowledge-based decision support. European Journal of Operational Research, 99:48-57, 1997. Keyword(s): rough sets, fuzzy sets, decision support. [bibtex-entry]



24. J.-C. Pomerol. Artificial intelligence and human decision making. European Journal of Operational Research, 99:3-25, 1997. Keyword(s): artificial intelligence, decision making, diagnosis, planning. [bibtex-entry]



25. B. Roy and D. Vanderpooten. The European School of MCDA: Emergence, basic features and current works. Journal of Multi-Criteria Decision Analysis, 5(1):22-37, 1997. Keyword(s): multiple criteria decision aid, school of thought, historical review. [bibtex-entry]



26. W. Silvert. Ecological impact classification with fuzzy sets. Ecological Modelling, 96:1-10, 1997. Keyword(s): ecological impact, environmental impact, classification, fuzzy logic, fuzzy set theory. [bibtex-entry]



27. R. Słowiński, C. Zopounidis, and A. Dimitras. Prediction of company acquisition in Greece by means of the rough set approach. European Journal of Operational Research, 100(1):1-15, 1997. Keyword(s): decision, finance, rough set theory, classification, prediction, company acquisition. [bibtex-entry]



28. G. Smith and I. Burns. Measuring texture classification algorithms. Pattern Recognition Letters, 18:1495-1501, 1997. Keyword(s): texture features, classification, comparison, metric. [bibtex-entry]



29. B. Stiles and J. Ghosh. Habituation based neural networks for spatio-temporal classification. Neurocomputing, 15:273-307, 1997. Keyword(s): dynamic neural networks, habituation, classification, spatio-temporal signals, recurrent networks. [bibtex-entry]



30. M. Troutt, A. Rai, and S. Tadisina. Aggregating multiple expert data for linear case valuation models using the MDE principle. Decision Support Systems, 21:75-82, 1997. Keyword(s): MDE principle, multiple experts, linear discriminant analysis. [bibtex-entry]



31. A. Vakil. Confronting the classification problem: Toward a taxonomy of NGOs. World Development, 25(12):2057-2070, 1997. [bibtex-entry]



32. A. Wakulicz-Deja and P. Paszek. Diagnose progressive encephalopathy apllying the rough set theory. International Journal of Medical Informatics, 46:119-127, 1997. Keyword(s): expert systems, machine learning, progressive encephalopathy, rough sets. [bibtex-entry]



33. Y. Won and S. Kim. Multiple criteria clustering algorithm for solving the group technology problem with multiple process routings. Computers & Industrial Engineering, 32(1):207-220, 1997. [bibtex-entry]



34. S. Zanakis and C. Zopounidis. Prediction of Greek company takeovers via multivariate analysis of financial ratios. Journal of the Operational Research Society (JORS), 48(7):678-687, 1997. [bibtex-entry]



35. K. Zografos, R. Driggs, and S. Zanakis. A multi-criteria decision making method for evaluating alternative transportation projects. IFAC Transportation Systems, pp 148-154, 1997. [bibtex-entry]



36. C. Zopounidis and M. Doumpos. A multicriteria decision aid methodology for the assessment of country risk. European Research on Management and Business Economics, 3(3):13-33, 1997. [bibtex-entry]



37. C. Zopounidis and M. Doumpos. A multicriteria method for sorting decision problems under uncertainty. Fuzzy Economic Review, 2(1):3-15, 1997. [bibtex-entry]



38. C. Zopounidis, M. Doumpos, and N. Matsatsinis. On the use of knowledge-based decision support systems in financial management: A survey. Decision Support Systems, 20:259-277, 1997. Keyword(s): decision support systems, expert systems, financial management, knowledge-based decision support systems, multicriteria decision aid. [bibtex-entry]



39. V. Mousseau, J. Figueira, and J.-P. Naux. Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. Cahier du LAMSADE 150, Université Paris-Dauphine, Paris, France, 1997. Keyword(s): sorting problematic, preference disaggregation, weight elicitation, numerical experiments. [bibtex-entry]

1. B. Roy. Multicriteria Methodology for Decision Aiding, volume 12 of Nonconvex Optimization and Its Applications. Springer, Formerly Kluwer Academic Publishers, Dordrecht, Boston, London, 1996. Note: Translator: Mark R. McCord. [bibtex-entry]



2. R. Ahlswede and N. Cai. Incomparability and intersection properties of boolean interval lattices and chain posets. European Journal of Combinatorics, 17(8):677 – 687, 1996. [bibtex-entry]



3. M. Al-Daoud and S. Roberts. New methods for the initialisation of clusters. Pattern Recognition Letters, 17(5):451-455, 1996. Keyword(s): clustering, cluster initialisation, k-means algorithm. [bibtex-entry]



4. M. Banerjee and S. Pal. Roughness of a fuzzy set. Information Sciences: An International Journal, 93:235-246, 1996. [bibtex-entry]



5. D. Bouyssou. Outranking relations: Do they have special properties?. Journal of Multi-Criteria Decision Analysis, 5(2):99-111, 1996. Keyword(s): MCDM, outranking relations, social choice theory, binary choice probabilities. [bibtex-entry]



6. P. Burrascano and D. Pirollo. Improved binary classification performance using an information theoretic criterion. Neurocomputing, 13:375-383, 1996. [bibtex-entry]



7. J. Denton and M. Hung. A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks. European Journal of Operational Research, 93:358-368, 1996. Keyword(s): neural networks training, nonlinear programming. [bibtex-entry]



8. A. Dimitras, S. Zanakis, and C. Zopounidis. A survey of business failures with an emphasis on prediction methods and industrial applications. European Journal of Operational Research, 90(3):487-513, 1996. Keyword(s): business failures, statistical analysis. [bibtex-entry]



9. I. Fazekas and F. Liese. Some properties od the hellinger transform and its application in classification problems. Computers & Mathematical Applications, 31(8):107-116, 1996. Keyword(s): Hellinger transform, Radon-Nikodym derivative, multidimensional Gaussian autoregressive process, Ornstein-Uhlenbeck process. [bibtex-entry]



10. K. Frauendorfer and E. Königsperger. Concepts for improving scheduling decisions: An application in the chemical industry. International Journal of Prodution Economics, 46-47:27-38, 1996. Keyword(s): multi-criteria analysis, production scheduling, performance evaluation. [bibtex-entry]



11. P. Hammer and A. Kogan. Essential and redundant rules in Horn knowledge bases. Decision Support Systems, 16(2):119-130, 1996. Keyword(s): expert systems, propositional knowledge base, Horn clause, logical equivalence, boolean functions, logic minimization, knowledge compression, essential rule, redundant rule. [bibtex-entry]



12. C. Hurson and C. Zopounidis. Méthodologie multicritère pour l'évaluation et la gestion de portefeuilles d'actions. Revue Banque et Marchés, 25:11-23, 1996. [bibtex-entry]



13. A. Jackson, S. LeClair, M. Ohmer, W. Ziarko, and H. Al-Kamhwi. Rough set applied to materials data. Acta Mater., 44(11):4475-4484, 1996. [bibtex-entry]



14. K. Lam, E. Choo, and J. Moy. Minimizing deviations from the group mean: A new linear programming approach for the two-group classification problem. European Journal of Operational Research, 88:358-367, 1996. Keyword(s): classification, linear programming, multivariate statistics. [bibtex-entry]



15. A. Mechitov, H. Moshkovich, J. Bradley, and R. Schellenberger. An ordinal model for case-based reasoning in a classification task. International Journal of Expert Systems: Research and Applications, 9(2):225-242, 1996. [bibtex-entry]



16. S. Olariu and N. Rao. Simple algoritms for some classification problems. Pattern Recognition Letters, 17:163-167, 1996. Keyword(s): classification, pattern recognition, partitions, equivalence relations, refinement. [bibtex-entry]



17. Z. Pawlak. Rough sets and data analysis. IEEE - The Institute of Electrical and Electronics Engineers, pp 1-6, 1996. [bibtex-entry]



18. Z. Pawlak. Why rough sets?. IEEE - The Institute of Electrical and Electronics Engineers, pp 738-743, 1996. [bibtex-entry]



19. P. Rousseeuw, L. Kaufman, and E. Trauwaert. Fuzzy clustering using scatter matrices. Computational Statistics & Data Analysis, 23(1):135-151, 1996. Keyword(s): ellipsoidal clusters, fuzzy clustering, industrial applications, maximum likelihood, SAND method. [bibtex-entry]



20. Y. Siskos, E. Grigoroudis, C. Zopounidis, and O. Saurais. A multicriteria methodology to assess customer satisfaction. Journal of Management, 1(2):39-43, 1996. [bibtex-entry]



21. P. Smyth. Bounds on the mean classification error rate of multiple experts. Pattern Recognition Letters, 17:1253-1257, 1996. Keyword(s): classification, multiple experts, remote-sensing, planetary geology. [bibtex-entry]



22. P. Wanarat and R. Pavur. Examining the effect of second-order terms in mathematical programming approaches to the classification problem. European Journal of Operational Research, 93:582-601, 1996. Keyword(s): mathematical programming, linear programming, mixed integer programming, discriminant analysis. [bibtex-entry]



23. J. Wilson. Integer programming formulations of statistical classification problems. Omega - The International Journal of Management Science, 24(6):681-688, 1996. Keyword(s): mathematical programming, classification. [bibtex-entry]



24. C. Zopounidis, M. Doumpos, and N. Matsatsinis. Application of the FINEVA multicriteria knowledge based decision support system to the assessment of corporate failure risk. Foundations of Computing and Decision Sciences, 21(4):233-251, 1996. [bibtex-entry]



25. C. Zopounidis, N. Matsatsinis, and M. Doumpos. Developing a multicriteria knowledge-based decision support system for the assessment of corporate performance and viability: The FINEVA system. Fuzzy Economic Review, 1(2):35-53, 1996. [bibtex-entry]



26. V. Mousseau and R. Słowiński. Inferring an ELECTRE TRI model from assignment examples. Cahier du LAMSADE 140, Université Paris-Dauphine, Paris, France, 1996. Keyword(s): multiple criteria decision aid, sorting, ELECTRE TRI, parameters' elicitation, inference procedure, optimization. [bibtex-entry]

1. J. Janssen, C. Skiadas, and C. Zopounidis, editors. Advances in Stochastic Modelling and Data Analysis. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1995. [bibtex-entry]



2. P. Pardalos, Y. Siskos, and C. Zopounidis, editors. Advances in Multicriteria Analysis. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1995. [bibtex-entry]



3. C. Zopounidis. L’ évaluation du risque de défaillance: Méthodes et cas d’application. Ed. Economica, Paris, 1995. [bibtex-entry]



4. D. Alpsan, M. Towsey, O. Ozdamar, C. Tsoi, and D. Ghista. Efficacy of modified backpropagation and optimization methods on a real-world medical problem. Neural Networks, 8(6):945-962, 1995. Keyword(s): neural networks, multilayer perceptron, backpropagation, optimisation, auditory evoked potencial, pattern classification. [bibtex-entry]



5. E. Boros, V. Gurvich, P. Hammer, T. Ibaraki, and A. Kogan. Decomposability of partially defined boolean functions. Discrete Applied Mathematics, 62:51-75, 1995. [bibtex-entry]



6. H.-T. Chung and D. Schwartz. A resolution-based system for symbolic approximate reasoning. International Journal of Approximate Reasoning, 13(3):201-246, 1995. Keyword(s): approximate reasoning, fuzzy expert systems, fuzzy inference, resolution methods, symbolic approximate reasoning. [bibtex-entry]



7. A. Dimitras, C. Zopounidis, and C. Hurson. A multicriteria decision aid method for the assessment of business failure risk. Foundations of Control Engineering, 20(2):99-112, 1995. [bibtex-entry]



8. B. Fagot. Classification of problem behaviors in young children: A comparison of four systems. Journal of Applied Development Psychology, 16:95-106, 1995. [bibtex-entry]



9. C. Hurson and C. Zopounidis. On the use of multicriteria decision aid methods to portfolio selection. The Journal of Euro-Asian Management, 1(2):69-94, 1995. [bibtex-entry]



10. R. Słowiński and C. Zopounidis. Application of the rough set approach to evaluation of bankruptcy risk. International Journal of Intelligent Systems in Accounting, Finance and Management, 4(1):27-41, 1995. [bibtex-entry]



11. A. Stam and D. Ungar. RAGNU: A microcomputer package for two-group mathematical programming-based nonparametric classification. European Journal of Operational Research, 86:374-388, 1995. Keyword(s): two-group classification analysis, computer software for satistical analysis. [bibtex-entry]



12. M. Tanaka, N. Aoyama, A. Sugiura, and Y. Koseki. Integration of multiple knowledge representation for classification problems. Artificial Intelligence in Engineering, 9:243-251, 1995. Keyword(s): multiple knowledge representation, classification, knowledge base architecture, AI tool. [bibtex-entry]



13. S. Zanakis, S. Gupta, T. Mandakovic, S. Sahay, and S. Hong. Program evaluation and fund allocation: Methods and applications. Socio-Economics Planning Sciences, 29(1):59-79, 1995. [bibtex-entry]



14. C. Zopounidis, D. Despotis, and E. Stavropoulou. Multiattribute evaluation of Greek banking performance. Applied Stochastic Models and Data Analysis, 11(1):97-107, 1995. [bibtex-entry]



15. L. Henriet. Problèmes d'affectation et méthodes de classification. Mémoire du DEA 103, Université Paris Dauphine, Paris, France, 1995. [bibtex-entry]

1. O. Larichev and H. Moshkovich. An approach to ordinal classification problems. International Transactions in Operational Research, 1(3):375-385, 1994. Keyword(s): ORCLASS. [bibtex-entry]



2. J. Lee. Specifying vague requirements with a fuzzy logic based modeling framework. IEEE - The Institute of Electrical and Electronics Engineers, pp 291 - 295, 1994. [bibtex-entry]



3. A. Mechitov, H. Moshkovich, and D. Olson. Problems of decision rule elicitation in a classification task. Decision Support Systems, 12(2):115-126, 1994. [bibtex-entry]



4. J.-M. Nicolas and M. Grabisch. Classification by fuzzy integral: Performance and tests. Fuzzy Sets and Systems, 65(2-3):255-271, 1994. [bibtex-entry]



5. P. Pardalos, M. Sandström, and C. Zopounidis. On the use of optimization models for portfolio selection: A review and some computational results. Computational Economics, 7(4):227-244, 1994. [bibtex-entry]



6. Z. Pawlak and R. Słowiński. Decision analysis using rough sets. International Transactions in Operational Research, 1(1):107-114, 1994. Keyword(s): decision analysis, rough set theory, vagueness, multiple criteria, sorting. [bibtex-entry]



7. Z. Pawlak and R. Słowiński. Rough set approach to multi-attribute decision analysis. European Journal of Operational Research, 72(3):443-459, 1994. Keyword(s): decision, multiple attributes, rough set theory, vagueness, sorting, conflict analysis, explanation, prescription. [bibtex-entry]



8. Y. Siskos, C. Zopounidis, and A. Pouliezos. An integrated DSS for financing firms by an industrial development bank in Greece. Decision Support Systems, 12:151-168, 1994. Keyword(s): financial analysis, corporate risk assessment, multivariate statistical methods, MCDM methods, decision support systems. [bibtex-entry]



9. J. Yen and X. Liu. A fuzzy logic-based foundation for analyzing imprecise conflicting requirements. Fuzzy Systems, 2:1099-1104, 1994. [bibtex-entry]



10. C. Zopounidis. Venture capital modelling: Evaluation criteria for the appraisal of investments. The Financier, 1(2):54-64, 1994. [bibtex-entry]

1. B. Roy and D. Bouyssou. Aide Multicritère à la Décision : Méthodes et Cas, Production et Techniques Quantitatives Appliquées à la Gestion. Ed. Economica, Paris, France, 1993. Keyword(s): ELECTRE TRI. [bibtex-entry]



2. C. Zopounidis. Le point sur les méthodes d’évaluation des projets d'investissement en capital risque. Revue FINECO, Finance, Economie, Comptabilité, 3(2):99-121, 1993. [bibtex-entry]



3. C. Zopounidis. On the use of the MINORA multicriteria decision aiding system to portfolio selection and management. Journal of Information Science and Technology, 2(2):150-156, 1993. [bibtex-entry]

1. Ph. Vincke. Multicriteria Decision-Aid. Wiley & Sons, Chichester, 1992. [bibtex-entry]



2. C. Bana e Costa. Structuration, Construction et Exploitation d'un Modèle Multicritère d'Aide à la décision. Thèse de Doctorat, IST, Universidade Técnica de Lisboa, Lisboa, Portugal, 1992. [bibtex-entry]



3. W. Yu. Aide Multicritère à la Décision dans le Cadre de la Problématique du Tri : Concepts, Méthodes et Applications. Thèse de Doctorat, LAMSADE, Université Paris Dauphine, Paris, France, 1992. Keyword(s): ELECTRE TRI. [bibtex-entry]



4. S. Chatterjee and V. Srinivasan. Graphical analysis and financial classification: A case study. Managerial and Decision Economics, 13(6):527-537, 1992. [bibtex-entry]



5. J.-C. Cosset, Y. Siskos, and C. Zopounidis. Evaluating country risk: A decision support approach. Global Finance Journal, 3(1):79-95, 1992. [bibtex-entry]



6. P. Perny and B. Roy. The use of fuzzy outranking relations in preference modelling. Fuzzy Sets and Systems, 49:33-53, 1992. Keyword(s): Preference modelling, fuzzy binary relation, fuzzy logic, fuzzy partition, t-norm, negation. [bibtex-entry]



7. C. Skiadas, C. Zopounidis, and I. Dimoticalis. The use of computer information systems to forecast the diffusion of technological products. Technica Chronika Scientific Journal of the Technical Chamber of Greece-Section B, 12(4):49-68, 1992. [bibtex-entry]



8. C. Zopounidis, A. Pouliezos, and D. Yannacopoulos. Designing a DSS for the assessment of company performance and viability. Computer Science in Economics and Management, 5:41-56, 1992. [bibtex-entry]



9. W. Yu. ELECTRE TRI : Aspects méthodologiques et manuel d'utilisation. Document du LAMSADE 74, Université Paris-Dauphine, Paris, France, 1992. [bibtex-entry]

1. Z. Pawlak. Rough Sets. Theoretical Aspects of Reasoning about Data. Springer, Formerly Kluwer Academic Publishers, Boston, Dordrecht, London, 1991. [bibtex-entry]



2. R. Massaglia and A. Ostanello. N-TOMIC: A support system for multicriteria segmentation problems. In P. Korhonen, A. Lewandowski, and J. Wallenius, editors, Multiple Criteria Decision Support: Proceedings, Helsinki, Finland, 1989, volume 356 of Lectures Notes in Economics and Mathematical Systems, pages 167-174. Springer-Verlag, Berlin, 1991. [bibtex-entry]



3. O. Larichev and H. Moshkovich. Decision support system class for R&D planning. Expert Planning Systems, pp 227-232, 1991. [bibtex-entry]



4. A. Mohamed. Application of rough set theory for clinical data analysis: A case study. Mathematical and Computer Modelling, 15(10):19-37, 1991. [bibtex-entry]



5. B. Roy. The outranking approach and the foundations of ELECTRE methods. Theory and Decision, 31(1):49-73, 1991. Keyword(s): preference modelling, pairwise comparisons, outranking relations, ELECTRE methods, concordance, discordance, credibility index. [bibtex-entry]



6. Y. Siskos and C. Zopounidis. Assessing a venture capital institution's preference model using multicriteria analysis. JORBEL - Belgian Journal of Operations Research, Statistics and Computer Science, 31(3-4):7-27, 1991. [bibtex-entry]



7. S. Zanakis. A multi-criteria approach for library needs assessment and budget allocation. Socio-Economics Planning Sciences, 25(3):233-245, 1991. [bibtex-entry]

1. C. Bana e Costa, editor. Readings in Multiple Criteria Decision Aid. Springer-Verlag, New York, 1990. [bibtex-entry]



2. C. Zopounidis. La gestion du capital-risque. Ed. Economica, Paris, 1990. [bibtex-entry]



3. B. Roy. The outranking approach and the foundations of ELECTRE methods. In C. Bana e Costa, editor, Readings in Multiple Criteria Decision Aid, pages 155-183. Springer-Verlag, Berlin, 1990. [bibtex-entry]



4. J. Bard. Using multicriteria methods in the early stages of new product development. Journal of the Operational Research Society (JORS), 41(8):755-766, 1990. Keyword(s): development, goal, integer, management, multi-objective, programming, research, utility. [bibtex-entry]



5. D. Despotis, D. Yannacopoulos, and C. Zopounidis. A review of the UTA multicriteria method and some improvements. Foundations of Control Engineering, 15(2):63-76, 1990. [bibtex-entry]



6. J.-M. Martel and B. Aouni. Incorporating the decision-maker's preferences in the goal-programming model. Journal of the Operational Research Society (JORS), 41(12):1121-1132, 1990. Keyword(s): conflicting objectives, decision makers' preferences, generalized criterion, goal programming. [bibtex-entry]

1. C. Skiadas, C. Zopounidis, and A. Pouliezos. An interactive forecasting support system. Foundations of Control Engineering, 14(2):81-99, 1989. [bibtex-entry]



2. R. Słowiński and J. Stefanowski. Rough classification in incomplete information systems. Mathematical and Computer Modelling, 12(10/11):1347-1357, 1989. [bibtex-entry]



3. P. Srinivasan. Intelligent information retrieval using rough set approximations. Information Processing and Management, 25(4):347-361, 1989. [bibtex-entry]

1. B. Roy and Ph. Vincke. Pseudo-orders: Definition, properties and numerical representation. Mathematical Social Sciences, 14(3):263-274, 1987. [bibtex-entry]



2. Y. Siskos and C. Zopounidis. The evaluation criteria of the venture capital investment activity: An interactive assessment. European Journal of Operational Research, 31:304-313, 1987. Keyword(s): finance, multiple criteria, ordinal regression, MINORA. [bibtex-entry]



3. S. Zanakis. Social program evaluation and fund allocation: A 0-1 goal programming case study. Management Science and Policy Analysis, 5(1):40-51, 1987. [bibtex-entry]



4. C. Zopounidis. A multicriteria decision-making methodology for the evaluation of the risk of failure and an application. Foundations of Control Engineering, 12(1):45-67, 1987. [bibtex-entry]



5. C. Zopounidis. Comment prendre une décision d'investissement en capital risque. Revue Française de Gestion, 62:16-27, 1987. [bibtex-entry]



6. C. Zopounidis. Le capital risque en France : Les entreprises financées. La Revue du Financier, 52:39-49, 1987. [bibtex-entry]

1. V. Belton. A Comparative Study of Methods for Multiple Criteria Decision Aiding. PhD thesis, University of Cambridge, Cambridge, U.K., 1986. [bibtex-entry]



2. Y. Siskos and C. Zopounidis. L'investissement en capital risque en France : Mise en place d'une méthodologie multicritère d'évaluation. La Revue du Financier, 44:6-15, 1986. [bibtex-entry]

1. B. Roy. Méthodologie Multicritère d'Aide à la Décision, Production et Techniques Quantitatives Appliquées à la Gestion. Ed. Economica, Paris, France, 1985. [bibtex-entry]



2. S. Ronen and O. Shenkar. Clustering countries on attitudinal dimensions: A review and synthesis. Academy of Management Review, 10(3):435-454, 1985. Keyword(s): cluster analysis, correlation (statistical), econometrics, random variables, research, statistics, quantitative research. [bibtex-entry]



3. S. Zanakis and S. Gupta. A categorized bibliographic survey of goal programming. Omega - The International Journal of Management Science, 13(3):211-222, 1985. [bibtex-entry]



4. C. Zopounidis. Le marché financier en Grèce : Le marché des actions. La Revue du Financier, 42:62-70, 1985. [bibtex-entry]



5. C. Zopounidis. Une Méthode d'évaluation de la recherche développement à partir des méthodes statistiques non paramétriques. Revue Sciences de Gestion, 19(6):121-145, 1985. [bibtex-entry]

1. B. Roy and Ph. Vincke. Relational systems of preference with one or more pseudo-criteria: Some new concepts and results. Management Science, 30(11):1323-1335, 1984. Keyword(s): decision support systems, game theory, management science, multiple criteria decision making, statistical decision. [bibtex-entry]

1. T. Lane. A k-th nearest neighbour clustering procedure. Journal of the Royal Statistical Society. Series B (Methodological), 45(3):362-368, 1983. Keyword(s): clustering procedure, high density clusters, k-th nearest neighbour density estimation, set-consistency. [bibtex-entry]



2. T. Lane. A k-th nearest neighbour clustering procedure. Journal of the Royal Statistical Society. Series B (Methodological), 45(3):362-368, 1983. Keyword(s): clustering procedure, high density clusters, k-th nearest neighbour density estimation, set-consistency. [bibtex-entry]



3. M. Wong. A k-th nearest neighbour clustering procedure. Journal of the Royal Statistical Society. Series B (Methodological), 45(3):362-368, 1983. Keyword(s): clustering procedure, high density clusters, k-th nearest neighbour density estimation, set-consistency. [bibtex-entry]



4. M. Wong. A k-th nearest neighbour clustering procedure. Journal of the Royal Statistical Society. Series B (Methodological), 45(3):362-368, 1983. Keyword(s): clustering procedure, high density clusters, k-th nearest neighbour density estimation, set-consistency. [bibtex-entry]



5. S. Zanakis. A Staff to Job Assignment Problem with Multiple Objectives. Computers & Operations Research, 10(4):357-363, 1983. [bibtex-entry]

1. Z. Pawlak. Rough sets. International Journal of Information and Computer Sciences, 11(5):341-356, 1982. [bibtex-entry]

1. S. Zanakis and M. Maret. A Markovian goal programming approach to aggregate manpower planning. Journal of the Operational Research Society (JORS), 32(1):53-63, 1981. [bibtex-entry]

1. S. Zanakis and J. Smith. Chemical production planning via goal programming. International Journal of Production Research, 18(6):687-697, 1980. [bibtex-entry]



2. J. Devaud, G. Groussaud, and E. Jacquet-Lagrèze. UTADIS : Une méthode de construction de fonctions d'utilité additives rendant compte de jugements globaux. European Working Group on Multicriteria Decision Aid, Bochum, 1980. [bibtex-entry]

1. J. Moscarola. Aide à la Décision en Présence de Critères Multiples Fondée sur une Procédure Trichotomique: Méthodologie et Applications. Thèse de Doctorat, Université Paris-Dauphine, Paris, France, 1977. [bibtex-entry]



2. J. Moscarola and B. Roy. Procédure automatique d'examen de dossiers fondée sur une segmentation trichotomique en présence de critères multiples. R.A.I.R.O. Recherche Opérationnelle / Operations Research, 11(2):145-173, 1977. [bibtex-entry]

1. R. Cormack. A review of classification. Journal of the Royal Statistical Society. Series A (General), 134(3):321-367, 1971. [bibtex-entry]



2. W. Rand. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336):846-850, 1971. [bibtex-entry]



3. W. Williams. Principles of clustering. Annual Review of Ecology and Systematics, 2:303-326, 1971. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html