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직관 퍼지 와이블 분포에서 알파 컷 셋을 이용한시스템 신뢰성 분석System Reliability Analysis Using α-Cut Set in Intuitionistic Fuzzy Weibull Distribution

Other Titles
System Reliability Analysis Using α-Cut Set in Intuitionistic Fuzzy Weibull Distribution
Authors
최성운
Issue Date
Sep-2021
Publisher
한국경영공학회
Keywords
IFS; α-Cut Set; Weibull; System Reliability; Uncertainty Types; Belief; Disbelief; Unbelief
Citation
한국경영공학회지, v.26, no.3, pp.23 - 46
Journal Title
한국경영공학회지
Volume
26
Number
3
Start Page
23
End Page
46
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82261
DOI
10.35373/KMES.26.3.2
ISSN
2005-7776
Abstract
(Purpose) This study is to analyze system reliability using fuzzy Weibull lifetime distribution in which scale parameters are assumed to be Intuitionistic Fuzzy Set (IFS) with α-cut set due to uncertainties and inaccuracy of data. (Methods) The IFS is utilized to present the information of membership function and non-membership function with the three intervals that include belief, disbelief and unbelief functions. The paper discusses the intuitionistic fuzzy Weibull system reliability models to assess the membership function and non-membership function by considering the different types of component intuitionistic fuzzy scale parameter. Due to the existence of different types of uncertainties, the three types of component TIFS (Triangular IFS) and TrIFS (Trapezoidal IFS) with α-cut set were presented for computing intuitionistic fuzzy system reliability in both series structure and parallel structure. (Results) The validity of proposed model is demonstrated by analyzing intuitionistic fuzzy Weibull system reliabilities with α-cut set using different types of intuitionistic fuzzy scale parameter. A numerical example is indicated to discuss the usefulness and practicality of the proposed model. (Conclusions) When conducting a group decision making for evaluating the intuitionistic fuzzy Weibull system reliability, α-cut set models proposed in this paper can be used to reflect various experts’ judgments on agreement, disagreement and undecidedness when evaluating system reliability.
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공과대학 > 산업경영공학과 > 1. Journal Articles

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