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Hybrid models: Probabilistic and fuzzy information

Advances in Intelligent Systems and Computing (2013) 190 AISC 389-397
DOI: 10.1007/978-3-642-33042-1_42
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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.

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Coletti, G., & Vantaggi, B. (2013). Hybrid models: Probabilistic and fuzzy information. In Advances in Intelligent Systems and Computing (Vol. 190 AISC, pp. 389–397). Springer Verlag. https://doi.org/10.1007/978-3-642-33042-1_42

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