Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (2): 154-157.DOI: 10.3778/j.issn.1002-8331.2009.02.045

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Heuristic algorithm for attribute reduction on concept lattice

LV Yue-jin,LI Jin-hai   

  1. School of Mathematics and Information Science,Guangxi University,Nanning 530004,China
  • Received:2008-01-02 Revised:2008-02-29 Online:2009-01-11 Published:2009-01-11
  • Contact: LV Yue-jin

概念格属性约简的启发式算法

吕跃进,李金海   

  1. 广西大学 数学与信息科学学院,南宁 530004
  • 通讯作者: 吕跃进

Abstract: The concept lattice is useful in knowledge processing and analying.And it has been used with a high intensity to knowledge reduction and data mining.This paper,from the viewpoint of concept extents,studies new and relatively reasonable formulas measuring attribute significance and proposes a theory for justifying whether an attribute set is a reduction on concept lattice,and then uses those formulas as heuristic information to design a novel and heuristic algorithm for attribute reduction on concept lattice.Finally,a real example is used to demonstrate both its feasibility and effectiveness.

Key words: formal context, concept lattice, attribute reduction

摘要: 概念格是知识处理与分析的一个有力的工具,在知识约简和数据挖掘方面有着重要的应用。该文首先从概念外延的角度研究了合理刻画属性重要性的指标,并给出了概念格属性约简的判定定理,然后以这些指标作为启发式信息设计了一种新颖的概念格启发式属性约简算法,最后通过实例表明了该约简算法的可行性与有效性。

关键词: 形式背景, 概念格, 属性约简