{"title":"基于区间值模糊软集的三I方法","authors":"Binbin Xue, Lu Wang, K. Qin","doi":"10.1109/ISKE.2017.8258816","DOIUrl":null,"url":null,"abstract":"This paper focuses on triple I inference method based on interval-valued fuzzy soft sets. Computational formulas for both interval-valued fuzzy soft modus ponens (IVF-SMP) and interval-valued fuzzy soft modus tollens (IVFSMT) with respect to left-continuous interval-valued t-norms and its residual interval-valued implication are presented. Besides, the reversibility property of triple I methods of IVFSMP and IVFSMT are analyzed.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An interval-valued fuzzy soft set based triple I method\",\"authors\":\"Binbin Xue, Lu Wang, K. Qin\",\"doi\":\"10.1109/ISKE.2017.8258816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on triple I inference method based on interval-valued fuzzy soft sets. Computational formulas for both interval-valued fuzzy soft modus ponens (IVF-SMP) and interval-valued fuzzy soft modus tollens (IVFSMT) with respect to left-continuous interval-valued t-norms and its residual interval-valued implication are presented. Besides, the reversibility property of triple I methods of IVFSMP and IVFSMT are analyzed.\",\"PeriodicalId\":208009,\"journal\":{\"name\":\"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.2017.8258816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2017.8258816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An interval-valued fuzzy soft set based triple I method
This paper focuses on triple I inference method based on interval-valued fuzzy soft sets. Computational formulas for both interval-valued fuzzy soft modus ponens (IVF-SMP) and interval-valued fuzzy soft modus tollens (IVFSMT) with respect to left-continuous interval-valued t-norms and its residual interval-valued implication are presented. Besides, the reversibility property of triple I methods of IVFSMP and IVFSMT are analyzed.