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基于可变精度的加权粗糙集模型在约简中的研究
引用本文:何维,马廷淮.基于可变精度的加权粗糙集模型在约简中的研究[J].电子科技大学学报(社会科学版),2006(Z1).
作者姓名:何维  马廷淮
作者单位:电子科技大学 成都610054(何维),南京信息工程大学 南京210044(马廷淮)
基金项目:四川省重点项目(项目编号:01GG012-01)资助
摘    要:首先对粗糙集的定义进行了描述,在可变精度的基础上提出了加权粗糙集模型。重新定义了近似空间内的一些概念,给出了加权粗糙集模型的约简概念,指出了加权系数的两种方法。并根据实验分析,得出加权粗糙集模型约简中分类错误增大,约简长度越短,约简所花时间越长等特性。

关 键 词:可变精度  加权粗糙集  约简

Study on Weighting Rough Set Based on Variety Precision for Reduction
HE Wei.Study on Weighting Rough Set Based on Variety Precision for Reduction[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2006(Z1).
Authors:HE Wei
Institution:HE Wei (Univ.of Elec.Sci.& Tech.of China Chengdu 610054 China)MA Ting-huai(Nanjing University of Information Science and Technology Nanjing 210044 China)
Abstract:In this paper,Rough Set was described,then base on Variety Precision Rough Set, Weighting Rough Set was defined.Some Approximate Space concepts were re-defined.The Reduction of Weighing Rough Set Model was stated,two methods for calculating weight were was given,too.The experiment proved the reduction characters of Rough Set:the shorter the reduction length is,the less the reduction time is.
Keywords:variety precision  weighting rough set  reduction
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