Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (2): 48-50.DOI: 10.3778/j.issn.1002-8331.2010.02.016

• 研究、探讨 • Previous Articles     Next Articles

New method of obtaining variable precision value based on variable precision rough set model

WANG Xiao-yan,QIN Feng   

  1. School of Computer Science,Anhui University of Technology,Ma’anshan,Anhui 243002,China
  • Received:2008-08-25 Revised:2008-10-30 Online:2010-01-11 Published:2010-01-11
  • Contact: WANG Xiao-yan


汪小燕,秦 锋   

  1. 安徽工业大学 计算机学院,安徽 马鞍山 243002
  • 通讯作者: 汪小燕

Abstract: In existing variable precision rough set model,the parameter value of β is obtained from prior domain knowledge.A new choice method of threshold value based on discernibility of set is presented by utilizing the probability distribution matrix of incompatible classes.The new method can obtain the parameter value of β quickly.The paper puts forward some theory about upper distribution reduction and lower distribution reduction.

Key words: variable precision rough set model, variable precision value, discernibility of set, distribution reduction

摘要: 在现有的变精度粗集模型中,β值大部分都是作为先验知识引入的。基于集合可辨性,利用不相容类的概率分布矩阵,提出计算β阈值的新方法。新方法能快速获得β值,并提出上、下分布约简的有关理论。

关键词: 变精度粗集模型, 变精度值, 集合可辨性, 分布约简

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