{"title":"Most and less similar fuzzy operators","authors":"A. Szakál, K.L. Rincz","doi":"10.1109/ISIE.2001.931954","DOIUrl":null,"url":null,"abstract":"In this paper, the construction of evolutionary operators by means of the elementary distance and similarity function is introduced. It is also shown that these elementary functions can be used to construct distance and similarity measures.","PeriodicalId":124749,"journal":{"name":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2001.931954","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
In this paper, the construction of evolutionary operators by means of the elementary distance and similarity function is introduced. It is also shown that these elementary functions can be used to construct distance and similarity measures.