%0 Journal Article
%T Completing data algorithm based on similarity relation vector<br>基于相似关系向量的不完备数据补齐算法
%A DING Chun-rong
%A LI Long-shu
%A <br>丁春荣
%A 李龙澍
%J 计算机应用研究
%D 2013
%I 
%X This paper studied the problems of filling up incompleted data, and proposed an completing data algorithm based on similarity relation vector according to the decision rule independence principle. It could efficiently solve the potential contradiction between decision rules comparing with the original ROUSTIDA algorithm. A practical case proves the completing accuracy rate is upper than ROUSTIDA algorithm's, and the new algorithm has better practical value.
%K 粗糙集
%K 不完备信息系统
%K 相似关系向量
%K 可辨识矩阵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD10024344E9DAFAA0E59698&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=663FF78B2ADE7A2D&eid=44FDB9366EDDFA2B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11