%0 Journal Article
%T Attribute classification based on the rough sets theory<br>基于粗糙集理论的属性分类
%A DENG Jiu-ying
%A MAO Zong-yuan
%A XU Ning
%A <br>邓九英
%A 毛宗源
%A 徐宁
%J 控制理论与应用
%D 2008
%I 
%X According to Rough sets theory,it is analyzed that the variation of the condition attribute partition contributes to the support degree of decision subsets and decision rules in the decision system.The method of selecting the best attribute classification is induced.Criteria and algorithms for the best attribute classification are introduced.Finally,the validity of algorithm 2 is verified through a simulation result.
%K attribute classification 1
%K support subsets 2
%K decision rules 3
%K support degree 4<br>属性分类1
%K 支持子集2
%K 决策规则3
%K 支持度4
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=63C27CF573B2223C753F89CC3DB1C9E3&yid=67289AFF6305E306&vid=C5154311167311FE&iid=38B194292C032A66&sid=E543FC2C7CA75C74&eid=240CB58995465C01&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=12