Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (13): 65-67.DOI: 10.3778/j.issn.1002-8331.2009.13.019

• 研究、探讨 • Previous Articles     Next Articles

Knowledge reduction for incomplete information systems based on variable—precision rough set models

ZHAO Ya-di,WEI Li-li   

  1. School of Mathematics and Computer Science,Ningxia University,Yinchuan 750021,China
  • Received:2008-03-19 Revised:2008-05-20 Online:2009-05-01 Published:2009-05-01
  • Contact: ZHAO Ya-di

基于变精度粗糙集的不完备信息系统知识约简

赵亚娣,魏立力   

  1. 宁夏大学 数学计算机学院,银川 750021
  • 通讯作者: 赵亚娣

Abstract: A new variable—precision rough set model for incomplete information systems is established based on variable rough sets models.β upper(lower) distribution reduction and β upper(lower) approximate reduction are introduced for incomplete information systems.The methods for discernibility matrixes for β upper(lower) distribution reduction are also presented.

Key words: incomplete information system, variable-precision rough set, knowledge reduction

摘要: 基于变精度的思想,提出了一种新的不完备信息系统变精度粗糙集模型。基于该模型给出了不完备信息系统的β上(下)分布约简和β上(下)近似约简。给出了求解不完备信息系统β上(下)分布约简的辨识矩阵方法。

关键词: 不完备信息系统, 变精度粗糙集, 知识约简