文献类型：期刊文章

作　　者：张宏宇[1] 梁吉业[1]

机构地区：[1]山西大学计算机科学系,太原030006

出　　处：《计算机科学》

基　　金：国家自然科学基金(No.60275019);国家863项目(No.2001AA115460);山西省自然科学基金

年　　份：2003

卷　　号：30

期　　号：4

起止页码：153-155

语　　种：中文

收录情况：BDHX、BDHX2000、CSA、CSCD、CSCD2011_2012、IC、JST、RCCSE、UPD、ZGKJHX、核心刊

摘　　要：Rough Set Theory, which has been found applicable and useful in many fields, is now a very effective method in data mining research. However, when the decision table is an incomplete one, with the original rough set theory proposed by Z. Pawlak, one can't get satisfactory results. In this paper an approach based on limited valued tolerance relation and majority inclusion relation is proposed. And furthermore a new attribute reduction method called extended discernable matrix is given. As this model is somewhat a combination of fuzzy means and majority inclusion relation, it is more effective than the previous models in practice.

关 键 词：变精度粗糙集模型 知识约简算法 粗糙集理论 不完备信息系统 人工神经网络

分 类 号：TP183]