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.
2013
Synergies of Soft Computing and Statistics for Intelligent Data Analysis
9783642330414
9783642330421
finetely additive probabilities; coherent conditional probability; inference; fuzzy sets; generalized inference; membership functions
02 Pubblicazione su volume::02a Capitolo o Articolo
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/484732
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