用粗糙直觉模糊集评价模糊可靠性

D. Kumar, S. B. Singh
{"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}
引用次数: 3

摘要

在过去的几十年里,模糊集理论得到了广泛的研究。它已被应用于解决包括系统可靠性在内的许多实际问题。本文定义了粗糙直觉模糊集及其性质,提出了一种分析不同类型系统的模糊可靠度的新方法,将部件的可靠度作为粗糙直觉模糊集来处理信息的模糊性和不完全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信