%0 Journal Article
%T Method for Feature Selection Based on Granular Computing<br>基于粒度计算的特征选择方法
%A SUN Li-Jun
%A MIAO Duo-Qian
%A <br>孙丽君
%A 苗夺谦
%J 计算机科学
%D 2008
%I 
%X The reduction of consistent decision table is redefined from the point of view of partition module of granular computing, and a novel algorithm to find an optimal reduction with low time complexity is proposed. Reduction is constructed by adding attributes using information entropy as the heuristic information, superfluous attributes are deleted from the reduction to get a minimal reduction. The experiment results on five public gene expression profiles demonstrate the usefulness of this new method for feat...
%K Granular computing
%K Rough sets
%K Reduction
%K Feature selection<br>粒度计算
%K 粗糙集
%K 约简
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B544AD6DB80996C09964436FDC5DD2C8&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=F3583C8E78166B9E&eid=23CCDDCD68FFCC2F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8