Strong law of large numbers with respect to a fuzzy probability measure

We describe the concepts of fuzzy probability measure and the expected value (integral) of a random vector in this framework. The main result presented here is a strong law of large numbers with respect to a fuzzy probability measure. This framework is useful in Bayesian inference with a prior containing a mixture of probabilistic-fuzzy information. Copyright Sapienza Università di Roma 2013

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Year of publication:	2013
Authors:	Ralescu, Dan
Published in:	METRON. - Springer, ISSN 0026-1424. - Vol. 71.2013, 3, p. 201-206
Publisher:	Springer
Subject:	Set-valued measure \| Fuzzy sets \| Fuzzy probability \| Strong law of large numbers

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011000650