%0 Journal Article
%T An Algorism of Attributes Reduction in Incomplete Information System<br>不完备信息系统下的属性约简算法
%A HE Wei LIU Chun-Ya ZHAO Jun LI Hua
%A <br>何伟
%A 刘春亚
%A 赵军
%A 李华
%J 计算机科学
%D 2004
%I 
%X Traditional rough set model is a powerful tool for processing complete information systems. But it cannot handle incomplete information systems ,so the research of incomplete information is one of the research fields in rough set. The paper improves the tolerance relation model proposed by M. Kryszkiewcz to make it more flexible. Then significance of attributes theory is applied to propose a algorism of attributes reduction based on the improved model. Then an example is given to verify the algorism. At last, we give a comparison between improved algorism and traditional algorisms.
%K Rough set
%K Tolerance relation
%K Significance of attributes
%K Attributes reduction<br>粗糙集理论
%K 数学模型
%K 属性约简算法
%K 不完备信息系统
%K 数据处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=EB0676106B70317C&yid=D0E58B75BFD8E51C&vid=4AD960B5AD2D111A&iid=0B39A22176CE99FB&sid=7555FB9CC973F695&eid=EFD65B51496FB200&journal_id=1002-137X&journal_name=计算机科学&referenced_num=15&reference_num=7