Didier Dubois                                                      - Version Texte - ici

Research Topics / Thèmes de Recherche

- From numerical possibility theory to imprecise probability / Théorie des possibilités numériques, probabilités imprécises

- Risk analysis under variability and partial ignorance / Analyse de risque en présence de variabilité et d'ignorance partielle

- Qualitative possibility theory and applications / Théorie des possibilités qualitatives et applications

- Generalized Possibilistic logic and Epistemic Logic / Logique Possibiliste Généralisée et Logique Epistemique

- From plausible reasoning to belief revision/ Du raisonnement plausible à la révision des croyances

- Aggregation and information fusion/ Agrégation et fusion d'informations

- Bipolarity in knowledge representation / Représentation de connaissances bipolaires

- Fuzzy sets/Ensembles flous

- Fuzzy interval analysis and its application to scheduling / Calcul d'intervalles flous et application à l'ordonnancement

- Qualitative decision theory / Théorie de la décision qualitative

- Fuzzy Rules in interpolative reasoning and data mining / Règles floues pour l'interpolation et la fouille de données

- Possibilistic nets in information retrieval / Réseaux possibilistes pour la recherche d'information documentaire

- Soft constraints and optimization / Contraintes flexibles et optimisation


PhD thesis proposals/ Proposition de sujet de thése

- Logique possibiliste généralisée (avec Henri Prade)

From numerical possibility theory to imprecise probability/ Théorie des possibilités numériques, probabilités imprécises

Risk analysis under variability and partial ignorance / Analyse de risque en présence de variabilité et d'ignorance partielle

Qualitative possibility theory and applications/ Théorie des possibilités qualitative et applications

  • D. Dubois, A. Hadj Ali, H. Prade. A Possibility Theory-Based Approach to the Handling of Uncertain Relations between Temporal Points. International Journal of Intelligent Systems, 22: 157-179, 2007.
  • D. Dubois, H. Fargier. A unified framework for order-of-magnitude confidence relations. Proc. of the 20th Conf. of Uncertainty in Artificial Intelligence (UAI'04), Banff, Canada, 7 - 11 juillet 2004. AUAI Press, p. 138-145. ps
  • S. Benferhat, D. Dubois, L. Garcia, H. Prade. On the transformation between possibilistic logic bases and possibilistic causal networks. International Journal of Approximate Reasoning, 29(2): 135-173, février 2002.
  • D. Dubois, F. Dupin de Saint Cyr - Bannay, H. Prade. A possibility-theoretic view of formal concept analysis. Fundamenta Informaticae, 75(1-4): 195-213, 2007. pdf

Generalized Possibilistic logic and Epistemic Logic / Logique Possibiliste Généralisée et Logique Epistemique

  • D. Dubois, H. Prade. Possibilistic logic: a retrospective and prospective view. Fuzzy Sets and Systems, 144: 3-23, 2004. pdf
  • D. Dubois, Henri Prade. Toward multiple-agent extensions of possibilistic logic. IEEE International Conference on Fuzzy Systems, London (UK), 23/07/2007-26/07/2007. pdf
  • D. Dubois: On Ignorance and Contradiction Considered as Truth-Values. Logic Journal of the IGPL 16(2): 195-216, 2008. pdf
  • Mohua Banerjee, Didier Dubois. A simple modal logic for reasoning about revealed beliefs European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2009), Verona (Italy), 01/07/2009-03/07/2009, Claudio Sossai, Gaetano Chemelle (Eds.), Springer, LNAI 5590, p. 805-816, 2009.long version

From plausible reasoning to belief revision/ Du raisonnement plausible à la révision des croyances

  • Salem Benferhat, Didier Dubois, Henri Prade, Mary-Anne Williams: A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule. Fundam. Inform. 99(2): 147-168 (2010) pdf
  • J.-F. Bonnefon, R. Da Silva Neves, D. Dubois and H. Prade. Predicting causality ascriptions from background knowledge: model and experimental validation, International Journal of Approximate Reasoning, 48, 2008, 752-765 pdf
  • J. Delgrande, D. Dubois, J. Lang. Iterated revision as prioritized merging. International Conference on Principles of Knowledge Representation and Reasoning (KR 2006), Lake District, UK, 06/2006, , p. 210-220, AAAI Press. pdf
  • D. Dubois. Three scenarios for the revision of epistemic states. International Workshop on Non-Monotonic Reasoning (NMR 2006), Lake District, UK, 06/2006, p. 114-122, 2006. pdf J. Logic and Computation, 18(5): 721-738 (2008)
  • D. Dubois, H. Fargier, H. Prade. Acceptance, Conditionals, and Belief Revision, In: G. Kern-Isberner et col. (Eds.) Conditionals, Information, and Inference, Lecture Notes in Artificial Intelligence, LNAI 3301: 38-58, Springer, 2005. pdf
  • D. Dubois, H. Fargier, H. Prade. Ordinal and probabilistic representations of acceptance. J. Artificial Intelligence Research, 22: 23-56, 2004. pdf
  • S. Benferhat, D. Dubois, H. Prade, M.-A. Williams. A practical approach to revising prioritized knowledge bases. Studia Logica, 70: 105-130, 2002. pdf

Aggregation and fusion d'informations/ Agrégation et fusion d'informations

  • S. Saminger-Platz, R. Mesiar, D. Dubois. Aggregation operators and commuting. IEEE Transactions on Fuzzy Systems, Special issue on Aggregation operators, 15(6): 1032-1045, 2007. pdf
  • S. Destercke, D. Dubois, E. Chojnacki. Possibilistic information fusion using maximal coherent subsets. IEEE International Conference on Fuzzy Systems, London (UK), 07/2007, IEEE, p. 445-450. Long version : IEEE Transactions On Fuzzy Systems, 17, 79-92, 2009. pdf
  • S. Destercke, D. Dubois, E. Chojnacki. Cautious conjunctive merging of belief functions.European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007), Hammamet, Tunisie, 2007, LNAI 4724:332-343, Khaled Mellouli (Eds.), Springer, 2007. pdf
  • D. Kyselovà, D. Dubois, M. Komorníková, R. Mesiar. Refining aggregation operator-based orderings in multifactorial evaluation - Part I: Continous scale. IEEE Transactions on Fuzzy Systems , Special issue on Aggregation operators, 15(6): 1100-1106, 2007. pdf
  • D.Dubois, H. Prade. On the use of aggregation operations in information fusion processes. Fuzzy Sets and Systems. 142: 143-161,2004. pdf
  • S. Benferhat, D. Dubois, S. Kaci, H. Prade. Logique possibiliste et fusion d'informations. Technique et Sciences Informatique (N° Spécial Fusion de données numériques et d'informations symboliques), Technique et Science Informatique, 22 (7-8): 1035-1064, 2003. pdf

Bipolarity in knowledge representation /Représentation de connaissances bipolaires

  • D. Dubois, H. Fargier, J.-F. Bonnefon. On the qualitative comparison of decisions having positive and negative features. Journal of Artificial Intelligence Research, Vol. 32, p. 385-417, 2008.pdf
  • J.-F. Bonnefon, D. Dubois, H. Fargier, S. Leblois. Qualitative heuristics for balancing the pros and the cons, Theory and Decision, 65:71–95 (2008).pdf
  • S. Benferhat, D. Dubois, S. Kaci and H. Prade. Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions, Information Fusion, 7: 135-150, 2006.
  • D. Dubois, H. Fargier. On the qualitative comparison of sets of positive and negative affects. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU'05) - Barcelone, 06-08 juillet 2005. Luis Godo (Eds.), LNAI 3571: 305-316, Springer-Verlag, Berlin.
  • D. Dubois, H. Prade. Bipolar representations in reasoning, knowledge extraction and decision. International Conference on Rough Sets and Current Trends in Computing (RSCTC 2006), Kobé, Japon, 11/2006, Springer, LNAI 4259: 15-26, 2006. pdf
  • D. Dubois, H. Prade. A bipolar possibilistic representation of knowledge and preferences and Its applications. In Fuzzy Logic And Applications, LNAI 3849: 1-10, Springer-Verlag, 2006.
  • D. Dubois, S. Kaci, H. Prade. Bipolarity in reasoning and decision - An introduction. The case of the possibility theory framework. Proc. of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'04), Perugia, Italy, 4 - 9 juillet 2004, 959-966.
  • D. Dubois, H. Prade. Information bipolaires. Une introduction. Information-Interaction-Intelligence, 3(1): 89-106, 2003.

Fuzzy sets/ Ensembles flous

  • D. Dubois, H. Prade. Fuzzy elements in a fuzzy set Proc. 10th Inter. Fuzzy Systems Assoc. (IFSA) Congress, Beijing, 2005, Springer. pdf Revised version: Gradual elements in a fuzzy set. Soft Computing, 12: 165-175, 2008 pdf
  • D. Dubois, F. Esteva, L. Godo, H. Prade. Fuzzy-set based logics - An history-oriented presentation of their main developments. Handbook of The History of Logic. Dov M. Gabbay, John Woods (Eds.), Elsevier, Vol. 8 (The many-valued and nonmonotonic turn in logic), p. 325-449, 2007. pdf
  • D. Dubois, Lluis Godo, H. Prade, F.Esteva. An information-based discussion of vagueness. Handbook of Categorization in Cognitive Science, (Henri Cohen, Claire Lefebvre, Eds.) Chap. 40, Elsevier, 2005 pp. 892-913. pdf
  • D. Dubois, S. Gottwald, P. Hajek, J. Kacprzyk, H. Prade. Terminological difficulties in fuzzy set theory - The case of Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 156: 485-491, 2005. pdf
  • D. Dubois. The role of fuzzy sets in decision sciences: old techniques and new directions. Invited paper at the EUROFUSE Workshop Preference Modelling and Decision Analysis, Pamplona (Spain), 16/09/2009-18/09/2009, Long version: Fuzzy Sets and Systems 184(1): 3-28 (2011) pdf

Fuzzy interval analysis and its application to scheduling / Calcul d'intervalles flous et application à l'ordonnancement

  • D. Dubois, J. Fortin, H. Fargier. Gradual Numbers and Their Application to Fuzzy Interval Analysis, IEEE trans. Fuzzy Systems, 16, 388-402, 2008. pdf
  • D. Dubois, J. Fortin, H. Fargier. Computational methods for determining the latest starting times and floats of tasks in interval-valued activity networks. J. Intell. Manufacturing, 16: 407-422, 2005. pdf
  • D. Dubois, H. Fargier, J. Fortin. The empirical variance of a set of fuzzy intervals. Proc. of the 2005 IEEE International Conference on Fuzzy Systems, Reno, Nevada, 22 -25 mai 2005. IEEE, p. 885-890. pdf
  • J. Fortin, P. Zielinski, D. Dubois, H. Fargier. Interval analysis in scheduling. Eleventh International Conference on Principles and Practice of Constraint Programming, Sitges (Barcelona), Spain, October 1 - 5, 2005. pdf
  • D. Dubois, H. Fargier, J. Fortin. A generalized vertex method for computing with fuzzy intervals. Proc. of the International Conference on Fuzzy Systems, Budapest, Hungary, 25 -29 juillet 2004. IEEE, p. 541-546. ps

Qualitative decision theory / Théorie de la décision qualitative

  • D. Dubois, H. Prade, R. Sabbadin. Decision theoretic foundations of qualitative possibility theory. European Journal of Operational Research, 128:459-478, 2001. pdf
  • D. Dubois, H. Fargier, H. Prade, P. Perny. Qualitative Decision Theory: From Savage's Axioms to Nonmonotonic Reasoning . Journal of the ACM, 49(4): 455-495 , juillet 2002. pdf
  • D. Dubois, H. Fargier, P. Perny. Qualitative decision theory with preference relations and comparative uncertainty: An axiomatic approach. Artificial Intelligence, 148: 219-260 , 2003. pdf (Corrigendum : Artif. Intell. 171(5-6): 361-362 (2007)).
  • D. Dubois, H. Fargier. Qualitative decision rules under uncertainty. Dans : Planning Based on Decision Theory. G. Della Riccia, D. Dubois, R. Kruse, H.-J. Lenz (Eds.), Springer, Wien, CISM 472: 3-26, 2004.
  • D. Dubois, H. Fargier. Qualitative decision making with bipolar information. International Conference on Principles of Knowledge Representation and Reasoning (KR 2006), Lake District (UK),06/2006, AAAI Press, p. 175-186, 2006. pdf
  • D. Dubois, H. Fargier: Lexicographic Refinements of Sugeno Integrals.European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007), Hammamet, Tunisie, 2007, LNAI 4724: 611-622, Khaled Mellouli (Eds.), Springer.
  • D. Dubois, H. Fargier, B. Vantaggi: An Axiomatization of Conditional Possibilistic Preference Functionals. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007), Hammamet, Tunisie, 2007, LNAI 4724: 803-815 , Khaled Mellouli (Eds.), Springer. pdf
  • D. Dubois, D. Kyselova, R. Mesiar. Limit refinements of aggregation-based ordering on continuous scale. Workshop on Aggregation Operators, Juillet 2005.
  • D. Dubois, H. Fargier, Making Discrete Sugeno Integrals More Discriminant, International Journal of Approximate Reasoning , 50, 2009, 880-898 pdf

Fuzzy Rules in interpolative reasoning / Règles floues pour l'interpolation

  • D. Dubois, E. Hüllermeier, H. Prade. Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems, 10(3): 322-332, juin 2002.
  • D. Dubois, H. Prade, L. Ughetto. A new perspective on reasoning with fuzzy rules. International Journal of Intelligent Systems, 18(5): 541-567, 2003. pdf
  • D. Dubois, E. Hüllermeier, H. Prade. On the representation of fuzzy rules in terms of crisp rules. Information Sciences. 151: 301-326, 2003.
  • S. Galichet, D. Dubois, H. Prade. Imprecise specification of ill-known functions using gradual rules. International Journal of Approximate reasoning. 35: 205-222, 2004. pdf
  • H. Jones, D. Dubois, S. Guillaume, B. Charnomordic. A practical inference method with several implicative gradual rules and a fuzzy input: one and two dimensions. IEEE International Conference on Fuzzy Systems≤, London (UK), 23/07/2007-26/07/2007, IEEE, p. 763-768, 2007. pdf

Information retrieval and data mining/ Recherche d'Informations et fouille de données

  • D. Dubois, E. Hüllermeier, H. Prade. A systematic approach to the assessment of fuzzy association rules, Data Mining and Knowledge Discovery. 13: 167-192, 2006. pdf
  • A. Brini, M. Boughanem, D. Dubois. Un modèle de réseau possibiliste pour la recherche d'information. Information - Interaction - Intelligence. Cépaduès Editions, 7(1): 31-54, 2007. pdf
  • A. Brini, M. Boughanem, D. Dubois. A Model for Information Retrieval based on Possibilistic Networks. 12th. Symposium on String Processing and Information Retrieval SPIRE2005, 11/2/2005 - 11/4/2005 Buenos Aires, Argentina, LNCS, Springer. pdf
  • D. Dubois, H. Prade, T. Sudkamp. On the representation, measurement, and discovery of fuzzy associations, IEEE Trans. Fuzzy Systems. 13: 250- 262, 2005. pdf
  • D. Dubois, E. Hüllermeier, H. Prade. Fuzzy Methods for Case-Based Recommendation and Decision Support, Journal of Intelligent Information Systems. 27: 95-115, 2006. pdf
  • M. Serrurier, D. Dubois, H. Prade and T. Sudkamp Learning fuzzy rules with their implication operators. Data & Knowledge Engineering. 60: 71-89, 2007.

Soft constraints and optimization/ Contraintes flexibles et optimisation

  • D. Dubois, H. Fargier, P. Fortemps. Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge. European Journal of Operational Research. 147: 231-252, 2003. pdf
  • D. Dubois, P. Fortemps. Selecting preferred solutions in the minimax approach to dynamic programming problems under flexible constraints. European Journal of Operational Research. 160: 582-598, 2005.
  • S. Ohnishi, D. Dubois, H. Prade, T. Yamanoi. A Study on the Analytic Hierarchy Process. Proc. of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'06), Paris, France, 02/07/2006-07/07/2006. pdf

Recent Edited Volumes / Ouvrages Récents

  • D. Dubois , H. Prade, (series eds.) The Handbooks of Fuzzy Sets Series, 7 volumes, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1998-2000, including :
    - D. Dubois , H. Prade, (eds.) Fundamentals of Fuzzy Sets, 2000.
    - J. Bezdek, D. Dubois, H. Prade, (eds). Fuzzy Sets in Approximate Reasoning and Information Systems, 1999.
  • G. Della Riccia, D. Dubois, R. Kruse and H-J. Lenz (Eds.) PLANNING BASED ON DECISION THEORY. CISM Courses and Lectures No. 472. Springer Verlag, Wien - New York, 2003.
  • C. Welty , D. Dubois, M.-A Williams. Proceedings of the 9th International Conference on Principles of Knowledge Representation and Reasoning (KR'04), Whistler, BC, Canada, 2 -5 juin 2004, AAAI Press, Menlo Park, CA.
  • D. Dubois, J. Grzymala-Busse, M. Inuiguchi, L. Polkowski (Eds.) Rough Sets and Fuzzy Sets. Transactions on Rough Sets II, LNCS 3135, Springer. 2004.
  • G. Della Riccia, D. Dubois, R. Kruse and H-J. Lenz (Eds.) Decision theory and multi-agent planning CISM Courses and Lectures No. 482, Springer-Verlag, 2006.
  • D. Bouyssou, D. Dubois, M. Pirlot, H. Prade. Concepts et méthodes pour l'aide à la décision. 3 volumes: Outils de Modélisation, Risque et Incertain, Analyse Multicritère, Lavoisier, Paris, Traité IC2, 2006
  • D. Dubois , H. Prade, (eds.) Bipolar Representations: 1. Cognition and Decision; 2. Reasoning and Learning, Triple special issue, International Journal of Intelligent Systems, 23, n° 8, 9, 10 2008, Wiley, New-York.
  • G. Della Riccia, D. Dubois, R. Kruse and H-J. Lenz (Eds) Preferences and Similarities. CISM Courses and Lectures N°504, Springer, 2008, ISBN: 978-3-211-85431-0
  • Denis Bouyssou, Didier Dubois, Marc Pirlot, Henri Prade (eds.) Decision-making Process - Concepts and Methods, ISTE London & Wiley, 2009.

Doctoral Students since 2005 / Encadrement Doctoral depuis 2005

Nicolas Drougard -> en thèse depuis Janvier 2009 (Coencadrement avec Florent Techteil-K¨onigsbuch, ONERA)

Fayçal Touazi -> en thèse depuis Novembre 2012 (Coencadrement avec Claudette Cayrol)

Christelle Jacob -> en thèse depuis Janvier 2009 (Coopération avec ISAE, ONERA, AIRBUS)

Farid Aiche -> en thèse depuis Septembre 2009 (ensignant à l'Université de Tizi Ouzou, Algérie)

Sébastien Destercke -> Thèse soutenue en Décembre 2008 (Coopération avec IRSN)

Hazael Jones -> Thèse soutenue en Décembre 2007 (Coopération avec INRA + CEMAGREF, Montpellier)

Jérome Fortin -> Thèse soutenue en Décembre 2006 (Coopération avec H. Fargier et Univ. Techn. Wroclaw, Pologne)

Asma Brini -> Thèse soutenue en Décembre 2005 (Coopération avec M. Boughanem, SIG-IRIT)

Cédric Baudrit -> Thèse soutenue en Octobre 2005 (coopération avec BRGM, IRSN, INERIS)

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