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MC-SC2 Publications about: preference modelling
Articles in journal or book chapters
  1. 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]

  2. 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]

  3. 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]

  4. 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]

  5. 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]

  6. 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]

  7. 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]

  8. 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]

Internal reports
  1. 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]



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Last modified: Fri Dec 15 07:05:48 2006
Author: Juscelino Dias.

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