{"title":"Reliability analysis of different complex systems using intuitionistic trapezoidal fuzzy number","authors":"Jaya Bhadauria, Sudha Rana, A. Kumari, D. Kumar","doi":"10.1109/ICCCS55188.2022.10079498","DOIUrl":null,"url":null,"abstract":"Reliability modelling is one of the most important disciplines of reliability engineering. In this research, a new method for analyzing fuzzy system reliability using intuitionistic trapezoidal fuzzy set theory is presented, where the reliabilities of the components of a system are represented by intuitionistic trapezoidal fuzzy number for modelling uncertainty and vagueness in real life situations. The proposed method can model and analyze the fuzzy system reliability in a more flexible and more intelligent manner. The proposed method also uses the score function and accuracy function for comparison of different complex systems. The score function can help the decision maker to make his decision more efficiently in decision-making problem.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS55188.2022.10079498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reliability modelling is one of the most important disciplines of reliability engineering. In this research, a new method for analyzing fuzzy system reliability using intuitionistic trapezoidal fuzzy set theory is presented, where the reliabilities of the components of a system are represented by intuitionistic trapezoidal fuzzy number for modelling uncertainty and vagueness in real life situations. The proposed method can model and analyze the fuzzy system reliability in a more flexible and more intelligent manner. The proposed method also uses the score function and accuracy function for comparison of different complex systems. The score function can help the decision maker to make his decision more efficiently in decision-making problem.