Microelectronic circuits, 2nd ed.
Microelectronic circuits, 2nd ed.
A fuzzy set approach to fault tree and reliability analysis
Fuzzy Sets and Systems
Street-lighting lamps replacement: a fuzzy viewpoint
Fuzzy Sets and Systems
Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context
Fuzzy Sets and Systems
Posbist reliability behavior of typical systems with two types of failure
Fuzzy Sets and Systems
Fuzzy system reliability analysis by interval of confidence
Fuzzy Sets and Systems
Fuzzy system reliability analysis using fuzzy number arithmetic operations
Fuzzy Sets and Systems
Fuzzy system reliability analysis for components with different membership functions
Fuzzy Sets and Systems
Fuzzy reliability analysis based on closed fuzzy numbers
Information Sciences: an International Journal
Fuzzy reliability estimation using Bayesian approach
Computers and Industrial Engineering
The reliability of general vague fault-tree analysis on weapon systems fault diagnosis
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Predicting uncertain behavior of industrial system using FM-A practical case
Applied Soft Computing
Fuzzy Sets and Systems
Bayesian reliability analysis for fuzzy lifetime data
Fuzzy Sets and Systems
Fuzzy Bayesian reliability and availability analysis of production systems
Computers and Industrial Engineering
Some fuzzy stochastic orderings for fuzzy random variables
Fuzzy Optimization and Decision Making
Expert Systems with Applications: An International Journal
A novel general approach to evaluating the reliability of gas turbine system
Engineering Applications of Artificial Intelligence
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Classical reliability assessment is based largely on precise information. In practice, however, some information about an underlying system might be imprecise and represented in the form of vague quantities. Thus, it is necessary to generalize the classical methods to vague environments for studying and analyzing the systems of interests. On the other hand, Bayesian approaches have shown to be useful when there is some prior information about the underlying model. In this paper, Bayesian system reliability assessment is investigated in vague environments. To employ the Bayesian approach, model parameters are assumed to be vague random variables with vague prior distributions. This approach will be used to create the vague Bayes estimate of system reliability by introducing and applying a theorem called ''Resolution Identity'' for vague sets. We also investigate a computational procedure to evaluate the vague Bayes estimate of system reliability. For this purpose, the original problem is transformed into a nonlinear programming problem which is then divided up into eight subproblems to simplify computations. Finally, the results obtained for the subproblems can be used to determine the membership functions of the vague Bayes estimate of system reliability. Two practical examples are provided to clarify the proposed approach.