{"title":"基于粗糙集的属性约简研究进展","authors":"L. Gao, Yanyun Chen, Jianlin Qiu","doi":"10.1109/FSKD.2012.6234160","DOIUrl":null,"url":null,"abstract":"This paper based on the rough set attribute reduction algorithm analysis and exposition. From theory of algorithms, algorithm performance and other aspects, the author undertook an analysis, classification, research and summary. On the attribute reduction algorithm based on rough set for the future research work is prospected and discuss.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research advances of attribute reduction based on rough sets\",\"authors\":\"L. Gao, Yanyun Chen, Jianlin Qiu\",\"doi\":\"10.1109/FSKD.2012.6234160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper based on the rough set attribute reduction algorithm analysis and exposition. From theory of algorithms, algorithm performance and other aspects, the author undertook an analysis, classification, research and summary. On the attribute reduction algorithm based on rough set for the future research work is prospected and discuss.\",\"PeriodicalId\":337941,\"journal\":{\"name\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2012.6234160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6234160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research advances of attribute reduction based on rough sets
This paper based on the rough set attribute reduction algorithm analysis and exposition. From theory of algorithms, algorithm performance and other aspects, the author undertook an analysis, classification, research and summary. On the attribute reduction algorithm based on rough set for the future research work is prospected and discuss.
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