{"title":"不完全信息系统中基于相似关系的VPRS","authors":"Shibao Sun, Aiping Ding, Chengxiang Hu","doi":"10.1109/BMEI.2010.5639837","DOIUrl":null,"url":null,"abstract":"Through changing the equivalence relation to the similar relation in incomplete information system, a new variable precision rough set model and an approach for knowledge reduction are proposed. The basic properties of lower and upper approximation operators are also investigated. Finally, the example proves that the new variable precision rough set model can effectively reduct database, roundly wide application range of the VPRS, and fully maintain information for database in incomplete information system.","PeriodicalId":231601,"journal":{"name":"2010 3rd International Conference on Biomedical Engineering and Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VPRS based on similar relation in incomplete information system\",\"authors\":\"Shibao Sun, Aiping Ding, Chengxiang Hu\",\"doi\":\"10.1109/BMEI.2010.5639837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through changing the equivalence relation to the similar relation in incomplete information system, a new variable precision rough set model and an approach for knowledge reduction are proposed. The basic properties of lower and upper approximation operators are also investigated. Finally, the example proves that the new variable precision rough set model can effectively reduct database, roundly wide application range of the VPRS, and fully maintain information for database in incomplete information system.\",\"PeriodicalId\":231601,\"journal\":{\"name\":\"2010 3rd International Conference on Biomedical Engineering and Informatics\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Biomedical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2010.5639837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2010.5639837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VPRS based on similar relation in incomplete information system
Through changing the equivalence relation to the similar relation in incomplete information system, a new variable precision rough set model and an approach for knowledge reduction are proposed. The basic properties of lower and upper approximation operators are also investigated. Finally, the example proves that the new variable precision rough set model can effectively reduct database, roundly wide application range of the VPRS, and fully maintain information for database in incomplete information system.
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