%0 Journal Article
%T An improved algorithm for attribute reduction based on rough sets<br>一种基于rough集的属性约简的改进算法
%A LI Yong-hua
%A JIANG Yun
%A WANG Xiao-ju
%A <br>李永华
%A 蒋芸
%A 王小菊
%J 计算机应用
%D 2008
%I 
%X At present, basically all attribute reduction based on Rough Sets is to extract the attribute core through the discernbility matrix, then calculate attribute reduction, but the method is still complex. This paper proposed and analyzed an attribute reduction algorithm of weighted mean attribute significance. The algorithm not only can get a reduction, but also does not need core calculating. It can reduce the computing effort and improve the computing efficiency. The algorithm is verified with the instance.
%K rough set
%K weighted mean attribute significance
%K attribute reduction algorithm<br>粗糙集
%K 加权平均属性重要性
%K 属性约简算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8987DBC3E439B3B7ED14FF2E2FB9F4F8&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=9806D0D4EAA9BED3&eid=C3ACC247184A22C1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=13