{"title":"MAGDM problems with sumudu transform for interval valued intuitionistic triangular fuzzy sets","authors":"P. J. Robinson, S. Jeeva","doi":"10.1109/ICPCSI.2017.8391853","DOIUrl":null,"url":null,"abstract":"In this paper, Multiple Attribute Group Decision Making (MAGDM) problems is investigated with intuitionistic triangular fuzzy sets for ranking the alternatives together with Interval Valued Intuitionistic Triangular Weighted Averaging (IVITrWA) and Interval Valued Intuitionistic Triangular Fuzzy Hybrid Aggregation (IVITrFHA) operator. The attribute weights are obtained by normalizing the solutions to fuzzy differential equations which are solved using sumudu transform and it is applied in decision making problems. A numerical illustration is given to show the effectiveness of the proposed approach.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"70 1","pages":"958-963"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCSI.2017.8391853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, Multiple Attribute Group Decision Making (MAGDM) problems is investigated with intuitionistic triangular fuzzy sets for ranking the alternatives together with Interval Valued Intuitionistic Triangular Weighted Averaging (IVITrWA) and Interval Valued Intuitionistic Triangular Fuzzy Hybrid Aggregation (IVITrFHA) operator. The attribute weights are obtained by normalizing the solutions to fuzzy differential equations which are solved using sumudu transform and it is applied in decision making problems. A numerical illustration is given to show the effectiveness of the proposed approach.