1. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 3, analyse multicritère. Hermès, 2006. [WWW ] [bibtex-entry]



2. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 1, outils de modélisation. Hermès, 2006. [WWW ] [bibtex-entry]



3. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 2, risque et incertain. Hermès, 2006. [WWW ] [bibtex-entry]



4. D. Dubois and H. Prade. Possibility theory. Plenum Press, New-York, 1988. [bibtex-entry]



5. D. Dubois and H. Prade. Théorie des possibilités: application à la représentation des connaissances en informatique. Masson, Paris, 1988. [bibtex-entry]



6. D. Dubois and H. Prade. Fuzzy sets and systems - Theory and applications. Academic press, New York, 1980. [bibtex-entry]

1. S. Benferhat, D. Dubois, S. Kaci, and H. Prade. Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions. Information Fusion, 7(1):135-150, March 2006. [WWW ] [bibtex-entry]



2. S. Benferhat, D. Dubois, S. Kaci, and H. Prade. Possibilistic merging and distance-based fusion of propositional information. Annals of Mathematics and Artificial Intelligence, 34:217-252, 2002. [bibtex-entry]



3. D. Dubois, H. Fargier, P. Perny, and H. Prade. Qualitative decision theory: from Savage's axioms to non-monotonic reasoning. Journal of the ACM, 49:455--495, 2002. [bibtex-entry]



4. D. Dubois, M. Grabisch, O. De Mouzon, and H. Prade. A possibilistic framework for single-fault causal diagnosis under uncertainty. Int. J. General Systems, 30(2):167-192, 2001. [bibtex-entry]



5. D. Dubois, M. Grabisch, H. Prade, and P. Smets. Using the transferable belief model and a qualitative possibility theory approach on an illustrative example: the assessment of the value of a candidate. Int. J. of Intelligent Systems, 16(11):1245-1272, 2001. [bibtex-entry]



6. D. Dubois, J. Marichal, H. Prade, and M. Roubens. The use of the discrete Sugeno integral in decision-making: A survey. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A: Multiple Criteria Decision Aiding, pages 81-98. Joint Research Center. The European Commission, Luxembourg, 2001. [bibtex-entry]



7. D. Dubois, J.L. Marichal, H. Prade, M. Roubens, and R. Sabbadin. The use of the discrete Sugeno integral in decision-making: A survey. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 9(5):539--561, 2001. [bibtex-entry]



8. D. Dubois and H. Prade. Possibility theory, probability theory and multiple-valued logics: A Clarification. Annals of Mathematics and Artificial Intelligence, 32:35-66, 2001. [bibtex-entry]



9. D. Dubois, H. Prade, and R. Sabbadin. Decision-theoretic foundations of qualitative possibility theory. European Journal of Operational Research, 128:459--478, 2001. [bibtex-entry]



10. M. Grabisch and H. Prade. The correlation problem in sensor fusion in a possibilistic framework. Int. J. of Intelligent Systems, 16(11):1273-1283, 2001. [bibtex-entry]



11. D. Dubois, M. Grabisch, F. Modave, and H. Prade. Relating decision under uncertainty and multicriteria decision making models. Int. J. of Intelligent System, 15:967-979, 2000. [bibtex-entry]



12. D. Dubois, H. Prade, and R. Sabbadin. Qualitative decision theory with Sugeno integrals. In M. Grabisch, T. Murofushi, and M. Sugeno, editors,Fuzzy Measures and Integrals -- Theory and Applications, pages 314-332. Physica Verlag, Heidelberg, 2000. [bibtex-entry]



13. D. Dubois, H. Fargier, and H. Prade. Possibility theory in constraint satisfaction problems: handling priority, preference and uncertainty. Applied Intelligence, 6:287--309, 1996. [bibtex-entry]



14. D. Dubois, H. Prade, and C. Testemale. Weighted fuzzy pattern matching. Fuzzy Sets and Systems, 28:313-331, 1988. [bibtex-entry]



15. D. Dubois and H. Prade. The mean value of a fuzzy number. Fuzzy Sets and Systems, 24:279-300, 1987. [bibtex-entry]



16. D. Dubois and H. Prade. Weighted minimum and maximum in fuzzy set theory. Information Science, 39:205-210, 1986. [bibtex-entry]



17. D. Dubois and H. Prade. A review of fuzzy set aggregation connectives. Information Sciences, 36:85--121, 1985. [bibtex-entry]



18. D. Dubois and H. Prade. Criteria aggregation and ranking of alternatives in the framework of Fuzzy Set theory. In H.J. Zimmermann, L.A. Zadeh, and B.R. Gaines, editors,Fuzzy Sets and Decision Analysis, pages 209-240. Studies in the Management Sciences, vol. 20, North-Holland, Amsterdam, 1984. [bibtex-entry]



19. D. Dubois and H. Prade. Ranking fuzzy numbers in the setting of possibility theory. Information Sciences, 30:183-224, 1983. [bibtex-entry]



20. D. Dubois and H. Prade. A class of fuzzy measures based on triangular norms. International Journal of General Systems, 8:43-61, 1982. [bibtex-entry]



21. D. Dubois and H. Prade. Decision Making under fuzziness. In M.M. Gupta, R.K. Ragade, and R.R. Yager, editors,Advances in fuzzy set theory and applications, pages 279-302. North Holland, Amsterdam, 1979. [bibtex-entry]



22. D. Dubois and H. Prade. Operations on fuzzy numbers. International Journal of Systems Sciences, 9:613-626, 1978. [bibtex-entry]

1. S. Benferhat, D. Dubois, S. Kaci, and H. Prade. Bipolar representation and fusion of preferences in the possibilistic logic framework. In Proceedings of the 8th International Conference on Knowledge Representation and Reasoning, KR'02, pages 421-432, 2002. Morgan Kauffamn, San Francisco. [bibtex-entry]



2. S. Benferhat, D. Dubois, S. Kaci, and H. Prade. Possibilistic logic representation of preferences: relating prioritized goals and satisfaction levels expressions. In Proceedings of the 15th European Conference on Artificial Intelligence, ECAI 2002, pages 685-689, 2002. ISO Press, Amsterdam. [bibtex-entry]



3. D. Dubois, H. Fargier, P. Perny, and H. Prade. On the Limitation of Ordinal Approaches to Decision Making. In Proceedings of the 8th International Conference on Knowledge Representation and Reasoning, KR02, pages 133-144, 2002. Morgan Kauffman, San Francisco. [bibtex-entry]



4. D. Dubois, H. Prade, and L. Ughetto. Fuzzy logic, control engineering and artificial intelligence. In H.B Verbruggen, H.J Zimmermann, and R. Babuska, editors, Fuzzy algorithms for control, pages 17-58, 1999. Kluwer Academic, Dordrecht. [bibtex-entry]



5. D. Dubois, H. Prade, and R. Sabbadin. Qualitative decision theory with Sugeno integrals. In Proceedings of the 14$^th$ conference on uncertainty in artificial intelligence, pages 121-128, 1998. Morgan Kaufmann, San Francisco. [bibtex-entry]



6. D. Dubois, H. Fargier, and H. Prade. Decision-making under ordinal preferences and uncertainty. In D. Geiger and P.P Shenoy, editors, Proceedings of the 13th conference on uncertainty in artificial intelligence, pages 157-164, 1997. Morgan Kaufmann, San Francisco. [bibtex-entry]



7. D. Dubois and H. Prade. Possibility theory as a basis for qualitative decision theory. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, IJCAI95, pages 1924--1930, 1995. Morgan Kaufmann, San Francisco. [bibtex-entry]



8. D. Dubois and H. Prade. Putting rough sets and fuzzy sets together. In R. Slowinski, editor, Intelligent Decision Support- Handbook of Applications and Advances of the Rough Set Theory, pages 203-232, 1992. Kluwer Academic, Dordrecht. [bibtex-entry]



9. D. Dubois and H. Prade. Fuzzy numbers: An overview. In J.C. Bezdek, editor, Analysis of Fuzzy Information, Vol.I: Mathematics and Logic, pages 3--39, 1987. CRC Press, Boca Raton, FL. [bibtex-entry]



10. D. Dubois and H. Prade. Inverse operations for fuzzy numbers. In Proceedings of IFAC Fuzzy Information, Marseille, France, pages 399--404, 1983. Pergamon Press. [bibtex-entry]

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