{"title":"An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories","authors":"Hu Guohua, Shi Yuemei","doi":"10.1109/ETCS.2009.721","DOIUrl":null,"url":null,"abstract":"Due to the explosive growth of electronically stored information,automatic methods must be developed to aid users in maintaining and using this abundance of information effectively.This paper presents a novel approach,based on an integrated use of fuzzy and rough set theories,to greatly reduce data redundancy. Experimental results show that fuzzy-rough reduction is more powerful than the conventional rough set-based approach.","PeriodicalId":422513,"journal":{"name":"2009 First International Workshop on Education Technology and Computer Science","volume":" 18","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 First International Workshop on Education Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCS.2009.721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Due to the explosive growth of electronically stored information,automatic methods must be developed to aid users in maintaining and using this abundance of information effectively.This paper presents a novel approach,based on an integrated use of fuzzy and rough set theories,to greatly reduce data redundancy. Experimental results show that fuzzy-rough reduction is more powerful than the conventional rough set-based approach.
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