运筹与管理2017，Vol.26Issue(5)：1-5,5.DOI:10.12005/orms.2017.0101
基于Vague粗糙集信息熵的属性约简算法
Attribution Reduction Algorithm Based on Information Entropy of Vague Rough Set
摘要
Abstract
In order to solve data information redundancy in complex system analysis,an attribution reduction algorithm based on information entropy of vague rough set is proposed.Firstly,the concerned concepts of vague rough set are expanded,then the extended information entropy and generalized information entropy are defined.Secondly,the attribution importance measure and attribution reduction principle based on information entropy are studied,and then an attribution reduction algorithm based on generalized information entropy is put forward.Finally,the algorithm quality is verified by applying to the chosen UCI database,and the calculation result has shown the validity and feasibility.关键词
粗糙集/Vague粗糙集/信息熵/属性约简Key words
rough set/vague rough set/information entropy/attribution reduction分类
数理科学引用本文复制引用
李玉超,徐金华..基于Vague粗糙集信息熵的属性约简算法[J].运筹与管理,2017,26(5):1-5,5.基金项目
中国博士后科学基金资助项目(2015M582874) （2015M582874）
军队科研“十二五”计划资助项目(14QJ003-032) （14QJ003-032）
