{"title":"粗糙模糊集的分解与表示定理","authors":"Z. Gong, Yabin Shao","doi":"10.1109/ISIP.2008.82","DOIUrl":null,"url":null,"abstract":"In this paper, aimed at rough fuzzy sets, the concept of four kinds upper (lower) lambda- cut sets and stronger lambda-cut sets are introduced. Finally, the new operators cup,cap,c and a kind of new nested sets are put forward. Using them, the decomposition and the representation theorems are obtained. With this change, relatively less information will be lost in the decision-making process. It gives us new theoretical basis for information process.","PeriodicalId":103284,"journal":{"name":"2008 International Symposiums on Information Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Decomposition and Representation Theorem of Rough Fuzzy Set\",\"authors\":\"Z. Gong, Yabin Shao\",\"doi\":\"10.1109/ISIP.2008.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, aimed at rough fuzzy sets, the concept of four kinds upper (lower) lambda- cut sets and stronger lambda-cut sets are introduced. Finally, the new operators cup,cap,c and a kind of new nested sets are put forward. Using them, the decomposition and the representation theorems are obtained. With this change, relatively less information will be lost in the decision-making process. It gives us new theoretical basis for information process.\",\"PeriodicalId\":103284,\"journal\":{\"name\":\"2008 International Symposiums on Information Processing\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposiums on Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIP.2008.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposiums on Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIP.2008.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Decomposition and Representation Theorem of Rough Fuzzy Set
In this paper, aimed at rough fuzzy sets, the concept of four kinds upper (lower) lambda- cut sets and stronger lambda-cut sets are introduced. Finally, the new operators cup,cap,c and a kind of new nested sets are put forward. Using them, the decomposition and the representation theorems are obtained. With this change, relatively less information will be lost in the decision-making process. It gives us new theoretical basis for information process.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
