Imprecise reliability by evidential networks
Résumé
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 reprsentation. Then, the basics of the evidence theory and its use in a directed acyclic graph approach are given. The imprecise probist reliability of complex system by modelling the component failure probabilities as real, interval or fuzzy numbers is pointed out. Two numerical studies of systems are done. The results are discussed and some comparisons with a Monte-Carlo simulation and a fuzzy fault tree approach are made.
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