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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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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