A study of defuzzification with experts' knowledge for deteriorating repairable systems

Yeu Shiang Huang, Chi Chang Chang

研究成果: Article同行評審

8 引文 斯高帕斯(Scopus)

摘要

This paper presents ideas on the applications of fuzzy concepts to decision making for deteriorating repairable systems. A non-homogeneous Poisson process (NHPP) with a power-law intensity function is used in this study. In general, classical Bayesian decision methods presume that future states of nature can be characterized as probability events. However, we do not know what the future will entail probabilistically, so we devise a method to consider experts' opinions, which are usually the absence of sharply defined criteria, and to develop a fuzzy Bayesian decision process for dealing with such situations. Two cases of the discrimination problem with deteriorating repairable systems are studied: (1) fuzzy states and exact information and (2) fuzzy states and fuzzy information. The fuzzy decomposition and arithmetic derivation of the experts' opinion are presented to facilitate the development of the Bayesian decision process for deteriorating repairable systems.

原文English
頁(從 - 到)658-670
頁數13
期刊European Journal of Operational Research
157
發行號3
DOIs
出版狀態Published - 2004 9月 16

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 建模與模擬
  • 管理科學與經營研究
  • 資訊系統與管理

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