{"title":"用粗糙直觉模糊集评价模糊可靠性","authors":"D. Kumar, S. B. Singh","doi":"10.1109/CIPECH.2014.7019037","DOIUrl":null,"url":null,"abstract":"Fuzzy set theory has been studied extensively over the past several decades. It has been applied to solve many real life problems including system reliability. In this paper we define rough intuitionistic fuzzy sets with their properties and present a new method for analyzing fuzzy reliability of different types of systems considering the reliability of the components as rough intuitionistic fuzzy sets for handling the vagueness and incompleteness in information.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evaluating fuzzy reliability using rough intuitionistic fuzzy set\",\"authors\":\"D. Kumar, S. B. Singh\",\"doi\":\"10.1109/CIPECH.2014.7019037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy set theory has been studied extensively over the past several decades. It has been applied to solve many real life problems including system reliability. In this paper we define rough intuitionistic fuzzy sets with their properties and present a new method for analyzing fuzzy reliability of different types of systems considering the reliability of the components as rough intuitionistic fuzzy sets for handling the vagueness and incompleteness in information.\",\"PeriodicalId\":170027,\"journal\":{\"name\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2014.7019037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2014.7019037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating fuzzy reliability using rough intuitionistic fuzzy set
Fuzzy set theory has been studied extensively over the past several decades. It has been applied to solve many real life problems including system reliability. In this paper we define rough intuitionistic fuzzy sets with their properties and present a new method for analyzing fuzzy reliability of different types of systems considering the reliability of the components as rough intuitionistic fuzzy sets for handling the vagueness and incompleteness in information.