To deal with fuzzy and uncertain information in reliability analysis of multi-state systems, an approach basedon fuzzy Bayesian networks is proposed. In this approach the fuzzy set theory and Bayesian networks methodology areapplied. The fuzzy assessment information from different experts is described by triangular fuzzy numbers, which denotesthe fuzzy probabilities of different states of root nodes. The depended uncertain ordered weighted averaging (DUOWA)operator is used to aggregate assessments information. Through defuzzification calculation, the crisp probabilities are obtainedas the prior probabilities of the root nodes. Bayesian network (BN) is used to handle the uncertainty of logical relationshipbetween nodes and to compute system reliability. A case study concerning the reliability analysis in cell productionline is provided and conducted using the proposed approach to illustrate its effectivity and practicability.
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