Propagation of uncertainty involving imprecision and randomness

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

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique

This paper presents a non exhaustive list of different methods of uncertainty propagation when the knowledge of some parameters of physical models is represented by probability measures, and others by possibility ramures or belief functions.

Mots clés: Fuzzy Number; Probability; Possibility; Belief function; dependence; correlation

Domaines: Intelligence artificielle [cs.AI]

Cédric Baudrit, Didier Dubois, Hélène Fargier. Propagation of uncertainty involving imprecision and randomness. 3rd Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), European Society for Fuzzy Logic and Technology, Sep 2003, Zittau, Germany. pp.1-6. ⟨hal-03463123⟩