计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 258-260.

• 人工智能 • 上一篇    下一篇

序信息系统的启发式属性约简算法

王锋,钱宇华,梁吉业   

  1. (计算智能与中文信息处理教育部重点实验室 太原030006);(山西大学计算机与信息技术学院 太原030006)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家863计划项目(No. 2007AA01Z165),国家自然科学基金(No. 60773133),山西省自然科学基金(No. 2008011038)资助。

Heuristic Attribute Reduction Algorithm to Ordered Information Systems

WANG Feng,QIAN Yu-hua,LIANG Ji-Ye   

  • Online:2018-12-01 Published:2018-12-01

摘要: 属性约简是粗糙集理论的核心问题之一,序信息系统中的属性约简也逐渐受到关注。基于优势类的概念,引入了序信息系统的一种信息粒度,用于度量属性集在序意义下的不确定性,进而给出了序信息系统中属性重要度的定义。在此基础上,设计了一种序信息系统的启发式属性约简算法,并通过实例分析进行了有效性检验。

关键词: 序信息系统,优势类,启发式约简算法

Abstract: Attribute reduction is one of important problems in rough set theory, and attribute reductions in ordered information systems are also concerned in recent years. We first proposed a new information granulation based on dominance classes, which can be used to measure uncertainty of an attribute set in the context of ordered information systerns. Using this information granulation, a definition of attribute significance was then given in ordered information systams. At last, a heuristic reduction algorithm was put forward to ordered information systems, and the validity of this algorithm was exemplified by an illustrative example.

Key words: Ordered information systems, Dominance classes, Heuristic reduction algorithm

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