Didier Dubois

Didier Dubois is a CNRS Research Director (DR2) at the Institut de Recherche en Informatique de Toulouse (IRIT) within Université Paul Sabatier, Toulouse. He leads the ADRIA team (Argumentation, Decision, Reasoning, Uncertainty, Learning) in the 'Reasoning and Decision' thematic group. His work focuses on fuzzy sets, possibility theory, imprecise probability, decision theory, and uncertainty management in AI and operational research.

Education:

• Ingénieur Civil de l'Aéronautique from ENSAE (1975)
• Docteur Ingénieur from ENSAE (1977)
• Docteur d'Etat from Université de Grenoble (1983)
• Habilitation à diriger des recherches from Université Paul Sabatier (1986)

Research Interests: Explores mathematical models for uncertainty and vagueness, including numerical/qualitative possibility theory, risk analysis under partial ignorance, generalized possibilistic logic, qualitative decision theory, and applications in scheduling, information retrieval, and soft constraints.

Key Contributions: Co-developed fuzzy set theory applications, edited influential volumes on uncertainty and decision-making, and pioneered formal frameworks for combining probability and possibility. Current research emphasizes bipolar knowledge representation and epistemic reasoning.

Editing Roles: Co-Editor-in-Chief of Fuzzy Sets and Systems since 1999, and series editor for the Handbooks of Fuzzy Sets.

Awards:

• Docteur Honoris Causa, Polytechnic School of Mons (1997)
• IFSA Fellow (1999)
• ISI Most Cited French Scientist (2001)
• IEEE Neural Network Society Pioneer Award (2002)

Advising: Supervised numerous PhD students since 2005, including work on possibility theory, risk analysis, and decision fusion. Collaborates with institutions like IRSN, ONERA, and Airbus.