DOI: 10.18869/acadpub.jirss.15.2.105

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Hesamian G. Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution. JIRSS. 2016; 15 (2) :105-119

Department of Statistics, Payame Noor University, Tehran 19395-3697, Iran
Abstract:   (1167 Views)

This paper considers the testing of fuzzy hypotheses on the basis of a Bayesian approach. For this, using a notion of prior distribution with interval or fuzzy-valued parameters, we extend a concept of posterior probability of a fuzzy hypothesis. Some of its properties are also put into investigation. The feasibility and effectiveness of the proposed methods are also clarified by some numerical examples.

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Type of Study: Original Paper | Subject: 62Fxx: Parametric inference
Received: 2016/08/31 | Accepted: 2016/08/31 | Published: 2016/08/31

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