Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application

Giulianella Coletti, Osvaldo Gervasi, Sergio Tasso and Barbara Vantaggi

Computational Statistics & Data Analysis, 2012, vol. 56, issue 4, 967-980

Abstract: A generalized Bayesian inference framework in order to embed fuzzy sets and partial probabilistic information is provided. The general framework of reference is that of coherent conditional probabilities, which allows giving a rigorous interpretation of membership function as a conditional probability, regarded as a function of the conditioning event. The inferential problem needs to be studied in situations where the prior can be partial; moreover, membership and prior can be given on different classes of events. This inferential model is applied for the virtual representation of a female avatar.

Keywords: Fuzzy sets; Likelihood; Generalized inference; Lower and upper probability; Female avatar (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:56:y:2012:i:4:p:967-980

DOI: 10.1016/j.csda.2011.06.020

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