Weighted rough set model
加权粗糙集模型

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.