{"title":"The relation between fuzzy soft set and integrative fuzzy set","authors":"Yi Jiang, Hailiang Zhao, Junxuan He","doi":"10.1109/ISKE.2017.8258761","DOIUrl":null,"url":null,"abstract":"Fuzzy set can be divided into single parameter or multi-parameter's ones with which to depict their fuzzy attributes. In references, it is usual defined in a single parameter universe and yet multi-parameter's ones often appears in so-called fuzzy relation. Fuzzy soft set can be used to describe a fuzzy object by aggregating fuzzy parameters in different attributes. Fuzzy set can be employed to do the same things. It can be concluded that there must be a certain relation between the two concepts. And to give the relation, integrative fuzzy set is proposed in this paper. And which can be decomposed into a fuzzy soft set under certain condition. Fuzzy soft set also can be translated into an integrative fuzzy set by some operator. Both of them can be used for decision-making. Theoretical analysis and examples show the optimal decision-making results are equivalent.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2017.8258761","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
Fuzzy set can be divided into single parameter or multi-parameter's ones with which to depict their fuzzy attributes. In references, it is usual defined in a single parameter universe and yet multi-parameter's ones often appears in so-called fuzzy relation. Fuzzy soft set can be used to describe a fuzzy object by aggregating fuzzy parameters in different attributes. Fuzzy set can be employed to do the same things. It can be concluded that there must be a certain relation between the two concepts. And to give the relation, integrative fuzzy set is proposed in this paper. And which can be decomposed into a fuzzy soft set under certain condition. Fuzzy soft set also can be translated into an integrative fuzzy set by some operator. Both of them can be used for decision-making. Theoretical analysis and examples show the optimal decision-making results are equivalent.