Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (12): 129-130.DOI: 10.3778/j.issn.1002-8331.2009.12.042

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

Method of discretization of continuous attributes based on rough set and Particle Swarm Optimization

SHEN Zhong-lin,FAN Jing-de,FAN Wei   

  1. Software Technology Research Center,School of Computer,Civil Avitation University of China,Tianjin 300300,China
  • Received:2008-03-03 Revised:2008-06-02 Online:2009-04-21 Published:2009-04-21
  • Contact: SHEN Zhong-lin

粗糙集与粒子群算法结合的属性离散化方法

沈中林,范敬德,樊 玮   

  1. 中国民航大学 计算机学院,天津 300300
  • 通讯作者: 沈中林

Abstract: This paper presents an algorithm for discretization based on rough set and particle swarm optimization.It mainly inducts a modified PSO(MPSO) and improves the ability to break away from the local optimum.Simultaneously,the algorithm obtains a satisfactory discretization result.Authors do many tests for different data sets and the experimental results prove that the algorithm has better validity for discretization of continuous attributes.

摘要: 提出了一种结合粗糙集和粒子群的连续属性离散化算法,采用了MPSO算法的思想,提高了粒子群摆脱局部极值的能力,得到了较好的离散化效果。对不同的数据集进行了多次测试,结果表明该算法在对数据离散化时有较好的性能。