计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (4): 152-155.DOI: 10.3778/j.issn.1002-8331.2009.04.043

• 数据库、信号与信息处理 • 上一篇    下一篇

决策表的高效属性约简算法

邓春燕1,2,吕跃进2,李金海2   

  1. 1.广西河池学院 计算机与信息科学系,广西 宜州 546300
    2.广西大学 数学与信息科学学院,南宁 530004
  • 收稿日期:2008-08-20 修回日期:2008-10-30 出版日期:2009-02-01 发布日期:2009-02-01
  • 通讯作者: 邓春燕

Efficient attribute reduction algorithm on decision table

DENG Chun-yan1,LV Yue-jin2,LI Jin-hai2   

  1. 1.Department of Computer and Information Science,Hechi University,Yizhou,Guangxi 546300,China
    2.Department of Mathematics and Information Science,Guangxi University,Nanning 530004,China
  • Received:2008-08-20 Revised:2008-10-30 Online:2009-02-01 Published:2009-02-01
  • Contact: DENG Chun-yan

摘要: 粗糙集理论是一种新型的处理模糊和不确定知识的数学工具。对现有决策表的属性约简算法进行了比较研究,在此基础上设计了两个合理度量属性重要性的公式,并给出了该公式的递归计算方法,利用新公式作为启发式信息设计了一种新的基于决策表的高效属性约简算法。实例与实验表明,该约简算法在效率上较现有算法有显著的提高。

关键词: 粗糙集, 决策表, 属性约简, 时间复杂度

Abstract: Rough set theory is a new mathematical tool to deal with vagueness and uncertainty.Authors first study the existed attribute reduction algorithms comparatively,based on which two relatively reasonable formulas measuring attribute significance are designed and the recursive calculating methods of them are provided as well.Taking the above formulas as heuristic information,a new and efficient attribute reduction algorithm based on decision table is developed.A real example and experimental results are used to illustrate that the algorithm proposed in this paper is more efficient than those existed algorihtms.

Key words: rough set, decision table, attribute reduction, time complexity