Didier DUBOIS
11
Documents
Présentation
<a name="OLE_LINK107"></a><a name="OLE_LINK106"></a>Didier Dubois is an Emeritus Research Advisor at IRIT, the Computer Science Department of Paul Sabatier University in Toulouse, France and belongs to the French National Centre for Scientific Resarch (CNRS). He holds a Doctorate in Engineering from ENSAE, Toulouse (1977), a Doctorat d'Etat from Grenoble University (1983) and an Honorary Doctorate from the Faculté Polytechnique de Mons, Belgium (1997) and from Obuda University Budapest (2016). He is the co-author, with Henri Prade, of two books on fuzzy sets and possibility theory, and 15 edited volumes on uncertain reasoning and fuzzy sets. Also with Henri Prade, he coordinated the HANDBOOK of FUZZY SETS series published by Kluwer (7 volumes, 1998-2000, 2 of which he co-edited). It includes the book Fundamentals of Fuzzy Sets, edited again with H. Prade (Kluwer, Boston, 2000). He has contributed about 200 technical journal papers on uncertainty theories and applications.
Didier Dubois has been an Advisory Editor of the IEEE Transactions on Fuzzy Systems. He is a member of the Editorial Board of several technical journals, such as the International Journal on Approximate Reasoning, General Systems, and Information Sciences among others. Since January 1, 1999, he has been co-Editor-in -Chief of Fuzzy Sets and Systems. He is a former president of the International Fuzzy Systems Association (1995-1997).
<a name="OLE_LINK8"></a><a name="OLE_LINK7"></a>His topics of interest range from Artificial Intelligence to Operations Research and Decision Sciences, with emphasis on the modelling, representation and processing of imprecise and uncertain information in reasoning and problem-solving tasks.
Publications
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Relevance and truthfulness in information correction and fusionInternational Journal of Approximate Reasoning, 2012, 53 (2), pp.159-175. ⟨10.1016/j.ijar.2011.02.006⟩
Article dans une revue
hal-00656775v1
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Conditioning in Dempster-Shafer Theory: Prediction vs. Revision2nd International Conference on Belief Functions (2012), May 2012, Compiègne, France. pp.385-392, ⟨10.1007/978-3-642-29461-7_45⟩
Communication dans un congrès
hal-03413941v1
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Statistical Inference with Belief Functions and Possibility Measures : a discussion of basic assumptions5th International Conference on Soft Methods in Probability and Statistics (SMPS 2010), Sep 2010, Oviedo, Spain. pp.217-225, ⟨10.1007/978-3-642-14746-3_27⟩
Communication dans un congrès
hal-00553509v1
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Pertinence et sincérité en fusion d'informationsRencontres Francophones sur la Logique Floue et ses Applications (LFA 2009), Nov 2009, Annecy, France. pp.23-30
Communication dans un congrès
hal-03442442v1
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Statistical inference using belief functions: a reappraisal of General Bayes TheoremSecond Workshop of the ERCIM working group on Computing and Statistics (ERCIM 2009), ERCIM: European Consortium for Informatics and Mathematics, Oct 2009, Limassol, Cyprus
Communication dans un congrès
hal-03434438v1
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Pertinence et Sincérité en Fusion d'InformationsRencontres Francophones sur la Logique Floue et ses Applications (LFA 2009), 2009, Annecy, France. pp.23-30
Communication dans un congrès
hal-00450980v1
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Representations of Uncertainty in Artificial Intelligence: Probability and PossibilityA Guided Tour of Artificial Intelligence Research Volume I: Knowledge Representation, Reasoning and Learning, Springer International Publishing, pp.69-117, 2020, ⟨10.1007/978-3-030-06164-7_3⟩
Chapitre d'ouvrage
hal-02921346v1
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Representations of Uncertainty in AI: Beyond Probability and PossibilityA Guided Tour of Artificial Intelligence Research (vol. I), Springer International Publishing, pp.119-150, 2020, ⟨10.1007/978-3-030-06164-7_4⟩
Chapitre d'ouvrage
hal-02921351v1
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Quality of Information Sources in Information FusionInformation Quality in Information Fusion and Decision Making, Springer, pp.31-49, 2019, ⟨10.1007/978-3-030-03643-0_2⟩
Chapitre d'ouvrage
hal-02471588v1
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Représentations de l'incertitude en intelligence artificielleMarquis, Pierre; Papini, Odile; Prade, Henri. Panorama de l'Intelligence Artificielle, 1 : Représentation des connaissances et formalisation des raisonnements (Chapitre 3), Cépaduès Editions, pp.65--121, 2014, 978-2364930414
Chapitre d'ouvrage
hal-03252264v1
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From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)2019
Pré-publication, Document de travail
hal-03253808v1
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