Under the interpretation of fuzzy set as coherent conditional probability, we study inferential processes starting from a probability distribution (on a random variable) and a coherent conditional probability on "fuzzy conditional events". We characterize the coherent extensions and we analyze an example proposed by Zadeh. © 2013 Springer-Verlag.
Hybrid models: Probabilistic and fuzzy information / Giulianella, Coletti; Vantaggi, Barbara. - STAMPA. - 190(2013), pp. 389-397. ((Intervento presentato al convegno 6th International Conference on Soft Methods in Probability and Statistics, SMPS 2012 tenutosi a Konstanz nel 4 October 2012 through 6 October 2012. - ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. [10.1007/978-3-642-33042-1_42].
Hybrid models: Probabilistic and fuzzy information
VANTAGGI, Barbara
2013
Abstract
Under the interpretation of fuzzy set as coherent conditional probability, we study inferential processes starting from a probability distribution (on a random variable) and a coherent conditional probability on "fuzzy conditional events". We characterize the coherent extensions and we analyze an example proposed by Zadeh. © 2013 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
