Random fuzzy age-dependent replacement policy

Authors:
Song Xu;Jiashun Zhang;Ruiqing Zhao
Affiliations:
Institute of Systems Engineering, Tianjin University, Tianjin, China;Institute of Systems Engineering, Tianjin University, Tianjin, China;Institute of Systems Engineering, Tianjin University, Tianjin, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming
Expected value operator of random fuzzy variable and random fuzzy expected value models

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

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Abstract

This paper discusses the age-dependent replacement policy, in which the interarrival lifetimes of components are characterized as random fuzzy variables. A random fuzzy expected value model is presented and shown how it can be applied to reduce the loss of system failures. To solve the proposed model, a simultaneous perturbation stochastic approximation (SPSA) algorithm based on random fuzzy simulation is developed to search the optimal solution. At the end of this paper, a numerical example is enumerated.