%0 Journal Article
%T Two attribute reduction algorithms based on fuzzy-rough set<br>基于模糊粗糙集的两种属性约简算法
%A WANG Li
%A FENG Shan
%A <br>王丽
%A 冯山
%J 计算机应用
%D 2006
%I 
%X Fuzzy-rough set treats membership values in fuzzy sets as attribute values in rough set theory , which describes the possible degrees and the certain degrees of fuzzy events. Two attribute reduction algorithms based on fuzzy-rough set, FRSAR and CCD-FRSAR were analyzed and compared in computational complexity and convergency. The conclusion is validated by concrete experiments: as a whole, CCD-FRSAR is better than FRSAR.
%K attribute reduction
%K fuzzy-rough set
%K compact computational domain
%K computational complexity
%K convergency<br>属性约简
%K 模糊粗糙集
%K 紧计算域
%K 计算复杂性
%K 算法收敛性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=BE9C3DB95D25E114&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=20C9FB8C7B4A22AD&eid=99F56932E7A3212B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=5