Imprecise reliability by evidential networks

C Simon and P Weber

Journal of Risk and Reliability, 2009, vol. 223, issue 2, 119-131

Abstract: This article deals with an implementation of probist reliability problems in evidential networks to propagate imprecise probabilities expressed as fuzzy numbers. First, the problem of imprecise knowledge in reliability problems is described concerning system and data representation. Then, the basics of the evidence theory and its use in a directed acyclic graph approach are given. The imprecise probist reliability of a complex system by modelling the component failure probabilities as real, interval, or fuzzy numbers is pointed out. Two numerical studies of systems are carried out. The results are discussed and some comparisons with a Monte-Carlo simulation and a fuzzy fault tree approach are made.

Keywords: imprecise probabilities; reliability; Dempster—Shafer structure; evidential networks (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:223:y:2009:i:2:p:119-131

DOI: 10.1243/1748006XJRR190

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