%0 Journal Article
%T Weighted rough set model<br>加权粗糙集模型
%A MA Ting-huai
%A TANG Mei-li
%A PAN Jin-ji
%A <br>马廷淮
%A 唐美丽
%A 潘锦基
%J 计算机应用
%D 2007
%I 
%X Weighted rough set(WRS) model is an extension of rough set(RS),based on variable precision rough set(VPRS) model.This model considers the noise tolerant capability and the objects' importance.Especially,it provides a profitable tool for extracting rules from experience knowledge.In weighted rough set model,some basic concepts were redefined in approximation space.Also,reduction concept was put forward under weighted rough set model.At last,from the experiments,that the WRS is the extension of RS is verified,and how object's importance affects reduction is illustrated.
%K rough set model
%K object importance
%K approximate space
%K reduction<br>粗糙集模型
%K 加权值
%K 近似空间
%K 约简
%K 加权值
%K 粗糙集模型
%K model
%K rough
%K set
%K 影响
%K 扩展特性
%K 验证
%K 实验分析
%K 约简
%K 近似空间
%K 重新定义
%K 手段
%K 经验知识
%K 程度
%K 对象
%K 能力
%K 容噪
%K 增强
%K 变化
%K 变精度模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051227878C585BB832D3&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=93ACFBACE750BC19&eid=7C540AD62AEA28A8&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6