Abstract
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic setting. We provide a general Bayesian inference process involving fuzzy and partial probabilistic information by showing its peculiarities.
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Coletti, G., Vantaggi, B. (2010). Inference with Fuzzy and Probabilistic Information. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_68
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DOI: https://doi.org/10.1007/978-3-642-14049-5_68
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