Journal of Frontiers of Computer Science and Technology ›› 2009, Vol. 3 ›› Issue (6): 577-584.DOI: 10.3778/j.issn.1673-9418.2009.06.002

• 综述·探索 • Previous Articles     Next Articles

A Comparative Study of Attribute Reduction in Information Systems

LI Leijun, MI Jusheng+   

  1. College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050016, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-11-15 Published:2009-11-15
  • Contact: LI Leijun

信息系统属性约简的比较研究

李磊军,米据生+   

  1. 河北师范大学 数学与信息科学学院,石家庄 050016
  • 通讯作者: 李磊军

Abstract: Attribute reduction is one of the key problems in the study of rough set theory. Define a kind of entropy reduction in an information system, and analyze attribute reduction from the views of algebra and information entropy, then obtain the essential relation between algebra reduction and entropy reduction.

Key words: knowledge reduction, information entropy, distribution reduction

摘要: 属性约简是粗糙集理论研究的核心问题之一。利用信息熵定义了信息系统的熵约简,从代数与信息熵两种不同角度出发对属性约简进行讨论。通过比较分析,分别在信息系统、协调与不协调决策表中得到这两种观点下属性约简的一些等价关系和蕴含关系,揭示了不同意义下属性约简的本质联系。

关键词: 知识约简, 信息熵, 分布约简

CLC Number: