{"title":"基于变换技术的直觉模糊集相似度度量","authors":"Shyi-Ming Chen, Chia-Hao Chang","doi":"10.1109/ICMLC.2014.7009148","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A new similarity measure between intuitionistic fuzzy sets based on transformation techniques\",\"authors\":\"Shyi-Ming Chen, Chia-Hao Chang\",\"doi\":\"10.1109/ICMLC.2014.7009148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.\",\"PeriodicalId\":335296,\"journal\":{\"name\":\"2014 International Conference on Machine Learning and Cybernetics\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2014.7009148\",\"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 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new similarity measure between intuitionistic fuzzy sets based on transformation techniques
In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.
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