Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (7): 221-222.DOI: 10.3778/j.issn.1002-8331.2010.07.067

• 工程与应用 • Previous Articles     Next Articles

Attribute reduction algorithm based on discernibility matrix and its application

SU Zhi-tong,LI Jin-hong,LIN Man-shan   

  1. College of Information Engineering,North China University of Technology,Beijing 100144,China
  • Received:2008-09-08 Revised:2008-11-19 Online:2010-03-01 Published:2010-03-01
  • Contact: SU Zhi-tong

基于差别矩阵的属性约简算法及其应用

苏志同,李晋宏,林满山   

  1. 北方工业大学 信息工程学院,北京 100144
  • 通讯作者: 苏志同

Abstract: There are many correlated parameters in the production of aluminum electrolyser.How to select a part of parameters for analysis is important for aluminum electrolyser.An improved attribute reduction algorithm based on discernibility matrix is proposed.The advantage of the proposed algorithm is that the redundant elements in discernibility matrix are avoided.Experiments on real aluminum electrolyser data show that the algorithm is effective.

Key words: aluminum electrolyser, rough set, attribute reduction, discernibility matrix

摘要: 铝电解过程中存在着各种相互影响的工艺参数,如何从中选择一部分参数进行分析,对铝电解生产有着重要的意义。提出了一种改进的基于差别矩阵的属性约简算法,避免了普通差别矩阵中的重复元素。用真实的铝电解生产数据对提出的算法进行了验证,效果良好。

关键词: 铝电解, 粗糙集, 属性约简, 差别矩阵

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