Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (18): 115-118.

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Improved method of attribute weight based on rough sets theory

TAN Zongfeng1, XU Zhangyan2, WANG Shuai2   

  1. 1.College of Mathematical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
    2.College of Computer Science & Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
  • Online:2012-06-21 Published:2012-06-20

一种改进的粗糙集权重方法

谭宗凤1,徐章艳2,王  帅2   

  1. 1.广西师范大学 数学科学学院,广西 桂林 541004
    2.广西师范大学 计算机科学与信息工程学院,广西 桂林 541004

Abstract: This paper deeply studies the attribute importance represented by rough set. Considering the drawbacks of the existing methods of attribute weight assignment based on rough set and both individual significance degree and the number of values of each attribute in the conditional attributes, it proposes an improved method of attribute weight assignment based on rough set, and it’s rationality is proved. A case is used to prove that improved weighting method can solve the existing problem.

Key words: weight, rough sets, attribute significance degree, decision table

摘要: 深入研究粗糙集表征的属性重要度,针对现有粗糙集理论的属性权重确立方法的不足,结合属性集中各个条件属性的重要度及其确定的条件属性取值个数,提出了改进的粗糙集权重的确定方法,分析了其合理性。通过实例说明了,改进的粗糙集权重方法可以解决原有粗糙集权重确定方法存在的问题。

关键词: 权重, 粗糙集, 属性重要度, 决策表