%0 Journal Article
%T An Incvementral Rules Learning Algorithm Based on Probabilistic Rough Set Model<br>一种基于概率粗糙集模型的增量式规则学习算法
%A FU Chang-long
%A DU Xu-hui
%A YAO Quan-zhu
%A <br>付长龙
%A 杜旭辉
%A 姚全珠
%J 计算机科学
%D 2008
%I 
%X In this paper,an incremental rule learning algorithm based on probabilistic rough set model is presented. The method can extract rules with certainty factor and supporting number from inconsistent decision table effectively, and the rules extracted by the method have a good noise resisting ability.At the same time,the dynamic adjustment mechanism of the algorithm can satisfy the dynamic renewal of rules.At the end of the paper,the rules which meet the specified criteria are derived by applying the method to...
%K Rough set
%K Probabilistie rough set
%K Rules learning
%K Inconsistent decision table<br>粗糙集
%K 概率粗糙集
%K 规则学习
%K 不一致决策表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=AC4534606E4BF1E0F94BD1A415D9BA06&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=475189FCB44F11F6&eid=A020552C37306588&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10