Sep. 27 2005 2:00PM

Sep. 27 2005 3:30PM

souhrn:
Looking on a coherent conditional probability as a general non-additive uncertainty measure of the conditioning events, it is possible to setup a clear, precise and rigorous mathematical frame which allows to define fuzzy subsets and to introduce in a very natural way the counterparts of the basic continuous T-norms and the corresponding dual T-conorms, bound to the former by coherence. This approach permits also to deal focus the connections among possibility theory, information measures and the concept of likelihood. Finally, some typical examples, depending on a perception-based information and introduced by Zadeh to challenge PT (standard Probability Theory), are discussed, and it is possible to show how they can be naturally ruled in this coherent setting.

Pravidelný seminář Inteligentní systémy (Contact person: Tomáš Kroupa)