1. D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke. Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy. Kluwer, 2001. [bibtex-entry]



2. R. Slowinski, editor. Fuzzy sets in decision analysis, operations research and statistics. Kluwer, Dordrecht, 1998. [bibtex-entry]



3. R. Slowinski, editor. Intelligent decision support - Handbook of applications and advances of the Rough Sets theory. Kluwer, Dordrecht, 1992. [bibtex-entry]



4. R. Slowinski and J. Teghem, editors. Stochastic versus Fuzzy approaches to Multiobjective Mathematical Programming under uncertainty. Kluwer, Dordrecht, 1990. [bibtex-entry]

1. S. Greco, B. Matarazzo, and R. Slowinski. Rough sets methodology for sorting problems in presence of multiple attributes and criteria. European Journal of Operational Research, 138(2):247-259, April 2002. [bibtex-entry]



2. S. Greco, B. Matarazzo, and R. Slowinski. Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129(1):1-47, February 2001. [bibtex-entry]



3. S. Greco, B. Matarazzo, and R. Slowinski. Extension of the rough set approach to multicriteria decision support. European Journal of Operational Research, 38(3):161-195, August 2000. [bibtex-entry]



4. V. Mousseau, R. Slowinski, and P. Zielniewicz. A User-oriented Implementation of the ELECTRE TRI Method Integrating Preference Elicitation Support. Computers & Operations Research, 27(7-8):757-777, June 2000. [bibtex-entry]



5. R. Slowinski and D. Vanderpooten. A generalized definition of rough approximations based on similarity. IEEE Transactions on Data and Knowledge Engineering, 12(2):331-336, 2000. [bibtex-entry]



6. A.I. Dimitras, R. Slowinski, R. Susmaga, and C. Zopounidis. Business failure prediction using rough sets. European Journal of Operational Research, 114:263-280, 1999. [bibtex-entry]



7. S. Greco, B. Matarazzo, and R. Slowinski. Rough approximation of a preference relation by dominance relation. European Journal of Operational Research, 117:63-83, 1999. [bibtex-entry]



8. S. Greco, B. Matarazzo, and R. Slowinski. A new rough set approach to evaluation of bankruptcy risk. In C. Zopounidis, editor,Operational tools in the management of financial risks, pages 121-136. Kluwer, Dodrecht, 1998. [bibtex-entry]



9. S. Greco, B. Matarazzo, R. Slowinski, and A. Tsoukiàs. Exploitation of a rough approximation of the outranking relation in multicriteria choice and ranking. in T. Stewart (ed), Multiple Criteria Decision Making. Proceedings of the 13th International Conference, Cape Town (South Africa), Springer-Verlag, 1998. [bibtex-entry]



10. M. Hapke, A. Jaszkiewicz, and R. Slowinski. Interactive analysis of multiple-criteria project scheduling problems. European Journal of Operational Research, 107(2):315-324, 1998. [bibtex-entry]



11. V. Mousseau and R. Slowinski. Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization, 12(2):157-174, 1998. [bibtex-entry]



12. R. Slowinski and D. Vanderpooten. Similarity relation as a basis for rough approximations. in P.P. Wang (ed.), Advances in Machine Intelligence and Soft Computing 4, pp 17-33, 1997. [bibtex-entry]



13. D. Vanderpooten, K. Krawiec, and R. Slowinski. Construction of rough classifiers based on application of a similarity relation. in S. Tsumoto and S. Kobayashi and T. Yokomori and H. Tanaka and A. Nakamura (eds.), RSFD'96, Fourth International Workshop on Rough Sets, Fuzzy Sets, and Knowledge Discovery, Tokyo, 1996. [bibtex-entry]



14. Z. Pawlak, J.W. Grzymala-Busse, R. Slowinski, and W. Ziarko. Rough Sets. Communications of the ACM, 38(11):89-95, 1995. [bibtex-entry]



15. R. Slowinski. Rough set approach to decision analysis. AI Expert Magazine, 10(3):18-25, 1995. [bibtex-entry]



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



17. Z. Pawlak and R. Slowinski. Decision Analysis using Rough Sets. International Transactions on Operational Research, 1(1):107-114, 1994. [bibtex-entry]



18. Z. Pawlak and R. Slowinski. Rough set approach to multi-attribute decision analysis. European Journal of Operational Research, 72(3):443-459, February 1994. [bibtex-entry]



19. R. Slowinski, B. Soniewicki, and J. Weglarz. DSS for multiobjective project scheduling. European Journal of Operational Research, 79(2):220-229, 1994. [bibtex-entry]



20. B. Roy and R. Slowinski. Criterion of distance between technical programming and socio-economic priority. RAIRO Recherche Opérationnelle, 27(1):45-60, 1993. [bibtex-entry]



21. A. Jaszkiewicz and R. Slowinski. Cone contraction method with visual interaction for multiple objective non linear programmes. Journal of Multi Criteria Decision Analysis, 1(1):29-46, 1992. [bibtex-entry]



22. A. Jaszkiewicz and R. Slowinski. Outranking-based interactive exploration of a set of multicriteria alternatives. Journal of Multi Criteria Decision Analysis, 6(2):93-106, 1992. [bibtex-entry]



23. R. Slowinski. A generalization of the indiscernibility relation for rough set analysis of quantitative information. Rivista di Matematica per le Scienze Economiche e Sociali, 15(1):65-78, 1992. [bibtex-entry]



24. R. Slowinski. Interactive multiobjective optimization based on ordinal regression. In Lewandovski A. and Volkovich V., editors,Multiobjective Problems of Mathematical Programming, volume 351 of LNEMS, pages 93-100. Springer-Verlag, Berlin, 1991. [bibtex-entry]



25. R. Slowinski. Interactive multiobjective optimization based on outranking and ordinal regression. Foundations of Control Engineering, 14(2):127-134, 1989. [bibtex-entry]



26. M. Boryczka and R. Slowinski. Derivation of Optimal Decision Algorithms from Decision Tables Using Rough Sets. Bull. Polish Academy of Sciences, Technical Series, 34(3-4):251-260, 1988. [bibtex-entry]



27. E. Jacquet-Lagrèze, R. Meziani, and R. Slowinski. MOLP with an interactive assessment of a piecewise-linear utility function. European Journal of Operational Research, 31(3):350-357, 1987. [bibtex-entry]



28. R. Slowinski. A multicriteria fuzzy linear programming method for water supply system development planning. Fuzzy Sets and Systems, 19(3):217-238, 1986. [bibtex-entry]



29. R. Slowinski and J. Warczynski. Application of the ellipsoid method in an interactive procedure for multicriteria linear programming. Operations Research, 28:89-100, 1984. [bibtex-entry]

1. S. Greco, B. Matarazzo, and R. Slowinski. The use of rough sets and fuzzy sets in MCDM. In T. Gal, T.J. Stewart, and T. Hanne, editors, Advances in MCDM models, Algorithms, Theory, and Applications, pages 14.1-14.59, 1999. Kluwer Academic Publishers, Boston. [bibtex-entry]



2. K. Krawiec, R. Slowinski, and D. Vanderpooten. Learning of decision rules from similarity based rough approximations. In L. Polkowski and A. Skowron, editors, Rough sets in knowledge discovery, Heidelberg, pages 37-54, 1998. Physica-Verlag. [bibtex-entry]



3. D. Bollinger, L.Y. Maystre, and R. Slowinski. Un cas concret de la contribution de l'aide multicritère à la décision à la coordination inter-cantonale pour l'incinération des déchets urbains. In 45e Journées du Groupe de Travail Européen Aide Multicritère à la Décision, Celàkovice, République Tchèque, 20-21 Mars 1997. [bibtex-entry]



4. A. Jaszkiewicz and R. Slowinski. Outranking-driven search over a nondominated set. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making, LNEMS 448, Berlin, pages 340-349, 1997. Springer-Verlag. [bibtex-entry]



5. R. Slowinski and D. Vanderpooten. Similarity relation as a basis for rough approximations. In P. Wang, editor, Advances in Machine Intelligence & Soft-computing, pages 17-33, 1997. Bookwrights, Raleigh, N.C.. [bibtex-entry]



6. K. Krawiec, R. Slowinski, and D. Vanderpooten. Construction of rough clasifiers based on application of a similarity relation. In S. Tsumoto, S. Kobayashi, T. Yokomori, H. Tanaka, and A. Nakamura, editors, RSFD'96 - Fourth International Workshop on Rough Sets, Fuzzy Sets, and Knowledge Discovery, pages 23-30, 1996. Tokyo University Press. [bibtex-entry]



7. R. Slowinski. Interactive multiobjective optimization based on ordinal regression. In A. Lewandowski and V. Volkovich, editors, Multiobjective Problems of Mathematical Programming, volume 351 of Lecture Notes in Economics and Mathematical Systems, pages 93-100, 1991. Springer-Verlag, Berlin. [bibtex-entry]



8. R. Slowinski. FLIP: an interactive method for multiobjective linear programming with fuzzy coefficients. In R. Slowinski and J. Teghem, editors, Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, pages 249-262, 1990. Kluwer Academic Publishers, Dordrecht. [bibtex-entry]

1. S. Greco, B. Matarazzo, and R. Slowinski. Are judgments about relative importance of criteria dependent or independent of the set of alternatives ? an experimental approach. Report RA-006/99, Poznan Univerity of Technology, Institute of Computing Science, 1999. [bibtex-entry]



2. V. Mousseau, R. Slowinski, and P. Zielniewicz. ELECTRE TRI 2.0a : Methodological guide and user's documentation. Document du LAMSADE no.111, Université de Paris-Dauphine, 1999. [bibtex-entry]



3. S. Wilk, M. Flinkman, W. Michalowski, S. Nilsson, R. Slowinski, and R. Susmaga. Identification of biodiversity and other forest attributes for sustainable forest management: Siberian forest case study. Report IR-98/11, IIASA, 1998. [bibtex-entry]



4. S. Greco, B. Matarazzo, R. Slowinski, and A. Tsoukiàs. Exploiting a rough approximation of the outranking relation. Technical report, Cahier du LAMSADE n. 152, Université Paris Dauphine, Paris, 1997 . [bibtex-entry]



5. V. Mousseau and R. Slowinski. Inferring an ELECTRE TRI model from assignment examples. Cahiers du LAMSADE no.140, Université de Paris-Dauphine, 1996. [bibtex-entry]



6. R. Slowinski and D. Vanderpooten. A generalized definition of rough approximations. ICS Research Report 4/96, Warsaw University of Technology, Warsaw, 1996. [bibtex-entry]



7. R. Slowinski and D. Vanderpooten. Similarity relations as a basis for rough approximations. ICS Research Report 53/95, Warsaw University of Technology, Warsaw, 1995. [bibtex-entry]

1. V. Mousseau and R. Slowinski. L'approche agrégation/désagrégation pour les méthodes de surclassement.
   Note: Séminaire ''Modélisation des Préférences et Aide Multicritère à la Décision'', LAMSADE, Université de Paris-Dauphine, 1997. [bibtex-entry]

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