Bayes statistical decisions with random fuzzy data—an application in reliability

Olgierd Hryniewicz

Reliability Engineering and System Safety, 2016, vol. 151, issue C, 20-33

Abstract: Bayesian methods are widely accepted as the methodology for the analysis of reliability data. In practical applications such data are often expressed in an imprecise way. In such a case fuzzy sets are frequently used for modeling imprecision. In the paper we present some recent results on the application of the fuzzy Bayes methodology for the analysis of imprecise reliability data. We also present some useful approximations obtained using the concept of shadowed sets.

Keywords: Bayesian inference; Reliability; Imprecise data; Fuzzy sets; Shadowed sets (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:151:y:2016:i:c:p:20-33

DOI: 10.1016/j.ress.2015.08.011

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