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计算机工程 ›› 2012, Vol. 38 ›› Issue (04): 58-59. doi: 10.3969/j.issn.1000-3428.2012.04.019

• 软件技术与数据库 • 上一篇    下一篇

基于论域压缩的启发式属性约简算法

卢喜森,吕跃进   

  1. (广西大学数学与信息科学学院,南宁 530004)
  • 收稿日期:2011-08-03 出版日期:2012-02-20 发布日期:2012-02-20
  • 作者简介:卢喜森(1974-),男,讲师,主研方向:粗糙集理论,数据库技术;吕跃进,教授
  • 基金资助:
    广西自然科学基金资助项目“基于粗糙集的不确定性决策理论与方法研究”(0991027)

Heuristic Algorithm of Attribute Reduction Based on Universe Compression

LU Xi-sen, LV Yue-jin   

  1. (College of Mathematics and Information Science, Guangxi University, Nanning 530004, China)
  • Received:2011-08-03 Online:2012-02-20 Published:2012-02-20

摘要: 论证在简化的信息系统上进行属性约简的可行性,指出某信息系统属性约简快速算法的计算结果可能含冗余属性,且在时间复杂度计算上存在错误。在此基础上,提出一种基于论域压缩的启发式属性约简算法,将相对支持度作为启发信息,缩小搜索空间,加入二次约简过程以消除冗余属性。实例分析表明,该算法具有较好的约简效果。

关键词: 粗糙集, 相对正域, 属性约简, 时间复杂度

Abstract: This paper gives a proof to the feasibility of the heuristic attribute reduction in simplified information system. It points out the results of one quick algorithm may contain redundancy attributes and time complexity calculation is wrong. This paper proposes a heuristic algorithm of attribute reduction based on universe compression. The relative support degree is used as heuristic information for reducing the searching room. A process of secondary reduction is used in order to eliminate redundancy attributes. A real example results demonstrate the improved algorithm has good reduction effect.

Key words: rough set, relatively positive domain, attribute reduction, time complexity

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