Joint Treatment of Imprecision and Randomness in Uncertainty Propagation

Cédric Baudrit (1) , Didier Dubois (1) , Dominique Guyonnet (2) , Hélène Fargier (1)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)

This paper presents and studies in detail a hybrid method of uncertainty propagation for the case where knowledge regarding some parameters of a physical model is represented by probability measures, while others are represented by possibility measures or belief functions.

Mots clés: Dependence; Belief functions; Possibility; Probability; (Random) Fuzzy Numbers

Domaines: Intelligence artificielle [cs.AI]

Cédric Baudrit, Didier Dubois, Dominique Guyonnet, Hélène Fargier. Joint Treatment of Imprecision and Randomness in Uncertainty Propagation. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Jul 2004, Perugia, Italy. ⟨hal-03451873⟩