运筹与管理 ›› 2017, Vol. 26 ›› Issue (5): 1-5.DOI: 10.12005/orms.2017.0101

• 理论分析与方法探讨 •    下一篇

基于Vague粗糙集信息熵的属性约简算法

李玉超1, 徐金华2   

  1. 1.中国科学院大学 经济与管理学院,北京 100049;
    2.军事科学院 军事战略研究部,北京 100091
  • 收稿日期:2016-03-07 出版日期:2017-05-25
  • 作者简介:李玉超(1963-),男,河南睢县人,博士研究生,研究方向:国防战略管理;徐金华(1982-),男,江苏泰兴人,博士,研究方向:战略决策与评估。
  • 基金资助:
    中国博士后科学基金资助项目(2015M582874);军队科研“十二五”计划资助项目(14QJ003-032)

Attribution Reduction Algorithm Based on Information Entropy of Vague Rough Set

LI Yu-chao1, XU Jin-hua2   

  1. 1. University of Chinese Academy of Science, School of Economics and Management, Beijing 100049, China;
    2. Academy of Military Science, Military Strategy Research Department, Beijing,100091, China
  • Received:2016-03-07 Online:2017-05-25

摘要: 针对复杂系统分析中的数据信息冗余问题,提出一种基于Vague粗糙集信息熵的属性约简算法。首先,对Vague粗糙集相关概念进行拓展,提出Vague粗糙集的扩展信息熵和广义信息熵的模型;其次,对基于信息熵的属性重要性度量和属性约简原理进行研究,进而提出了一种基于Vague粗糙集信息熵的监督式属性约简算法;最后,选取UCI数据库对算法性能进行验证,计算结果表明该算法实用有效。

关键词: 粗糙集, Vague粗糙集, 信息熵, 属性约简

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.

Key words: rough set, vague rough set, information entropy, attribution reduction

中图分类号: