{"title":"Relations in generalized intuitionistic fuzzy soft sets","authors":"M. Agarwal, K. K. Biswas, M. Hanmandlu","doi":"10.1109/CIMSA.2011.6059919","DOIUrl":null,"url":null,"abstract":"In intuitionistic fuzzy soft set (IFSS), a user can indicate his confidence in the data provided by him by including the hesitancy. In this paper we introduce the concept of relation in generalized intuitionistic fuzzy soft sets (RGIFSS) which allows to compose two generalized intuitionistic fuzzy soft sets (GIFSSs) [13] through intuitionistic fuzzy soft relations. GIFSS along with RGIFSS provides a robust provision for a moderator to ratify the individual hesitancy of all the users supplying data to the system. An application of RGIFSS and the score function is demonstrated through case studies involving multi-criteria decision making.","PeriodicalId":422972,"journal":{"name":"2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSA.2011.6059919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In intuitionistic fuzzy soft set (IFSS), a user can indicate his confidence in the data provided by him by including the hesitancy. In this paper we introduce the concept of relation in generalized intuitionistic fuzzy soft sets (RGIFSS) which allows to compose two generalized intuitionistic fuzzy soft sets (GIFSSs) [13] through intuitionistic fuzzy soft relations. GIFSS along with RGIFSS provides a robust provision for a moderator to ratify the individual hesitancy of all the users supplying data to the system. An application of RGIFSS and the score function is demonstrated through case studies involving multi-criteria decision making.
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