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A Strategy of Selecting Critical Items for Reliability Tests Using Fuzzy Inference

퍼지추론을 이용한 신뢰성 시험 대상 품목 선정 전략

  • Received : 2018.01.26
  • Accepted : 2018.03.19
  • Published : 2018.08.31

Abstract

The reliability test is a crucial step for ensuring robustness of high-cost and complex weapon systems. In this paper, we present a set of quantitative criteria to select critical parts or components in weapon systems for the reliability test, and implement a fuzzy inference system by applying developed criteria to fuzzy theory. We classify the selection criteria of critical parts or components into four fuzzy sets and membership functions. A fuzzy inference rule is proposed based on the AHP (Analytic Hierarchy Process) analysis technique so as to derive a convincing reliability test. The credibility of the fuzzy inference system is confirmed through a case study using actual equipment data exacted from an existent weapon system.

Keywords

References

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