%0 Journal Article
%T An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory<br>一种基于Rough Set理论的属性约简及规则提取方法
%A CHANG Li-yun
%A WANG Guo-yin
%A WU Yu
%A <br>常犁云
%A 王国胤
%A 吴渝
%J 软件学报
%D 1999
%I 
%X In this paper, the authors discuss two important issues in rough set research which are attribute reduction and value reduction. A new attribute reduction approach which can reach the best attribute reduction is presented based on discernibility matrix and logic computation. And a multivariate decision tree can be got with this method. Some improvements for a widely used value reduction method are also achieved in this paper. The complexity of acquired rule knowledge can be reduced effectively in this way.
%K Rough set theory
%K attribute reduction
%K value reduction
%K multivariate decision tree<br>Rough
%K Set理论
%K 属性约简
%K 值约简
%K 多变量决策树
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=03916E4FD122C6D32B3AE11BA015B962&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=708DD6B15D2464E8&sid=379827DA4720AA2A&eid=C4B40BDE3E33484C&journal_id=1000-9825&journal_name=软件学报&referenced_num=117&reference_num=9