{"title":"基于一组模糊概念确定模糊覆盖的方法","authors":"Zhan-Jing Wang, Jiao-Ying Wang, Fachao Li","doi":"10.1109/ICMLC.2012.6358929","DOIUrl":null,"url":null,"abstract":"Aiming at the covering of the rough set attribute reduction and on the foundation of rough set model proposed by Zakowski, this paper builds a fuzzy similarity relation by using some properties of fuzzy sets. Moreover, we discuss the method of ascertaining fuzzy covering based on a family of fuzzy concepts, and propose the concept of fuzzy covering. The impact of precision change on coverings ascertained by fuzzy sets is analyzed. These results provide a foundation for the application of covering based rough set models to fuzzy attributes.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method of ascertaining fuzzy covering based on a family of fuzzy concepts\",\"authors\":\"Zhan-Jing Wang, Jiao-Ying Wang, Fachao Li\",\"doi\":\"10.1109/ICMLC.2012.6358929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the covering of the rough set attribute reduction and on the foundation of rough set model proposed by Zakowski, this paper builds a fuzzy similarity relation by using some properties of fuzzy sets. Moreover, we discuss the method of ascertaining fuzzy covering based on a family of fuzzy concepts, and propose the concept of fuzzy covering. The impact of precision change on coverings ascertained by fuzzy sets is analyzed. These results provide a foundation for the application of covering based rough set models to fuzzy attributes.\",\"PeriodicalId\":128006,\"journal\":{\"name\":\"2012 International Conference on Machine Learning and Cybernetics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2012.6358929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6358929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of ascertaining fuzzy covering based on a family of fuzzy concepts
Aiming at the covering of the rough set attribute reduction and on the foundation of rough set model proposed by Zakowski, this paper builds a fuzzy similarity relation by using some properties of fuzzy sets. Moreover, we discuss the method of ascertaining fuzzy covering based on a family of fuzzy concepts, and propose the concept of fuzzy covering. The impact of precision change on coverings ascertained by fuzzy sets is analyzed. These results provide a foundation for the application of covering based rough set models to fuzzy attributes.
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