Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (7): 49-53.DOI: 10.3778/j.issn.1002-8331.1510-0176

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Adaptive rough set approximation based on three-way decisions

SHI Yujie1, YANG Hongzhi 2, WEI Ling 3   

  1. 1.School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
    2.Henan University of Economics and Law, Zhengzhou 450046, China
    3.School of Mathematics, Northwest University, Xi’an 710127, China
  • Online:2017-04-01 Published:2017-04-01

基于三支决策的自适应粗糙集近似

施玉杰1,杨宏志2,魏  玲3   

  1. 1.郑州大学 数学与统计学院,郑州 450001
    2.河南财经政法大学,郑州 450046
    3.西北大学 数学学院,西安 710127

Abstract:  An adaptive learning method of rough set approximation based on three-way decision-theory is discussed, and an algorithm for attribution evaluation function is also established. What’s more, in order to make the relationship clearer between objects and attributes through the process of rough set approximation, the concept of description set is introduced. Then a given target concept can be approximated under the known attribute evaluation function. Finally, the process between the new approximation method and cognition is compared, and their similarities are analyzed as well. With the benefit of the inspiration from the approximation process, the efficiency of cognition can be improved to some extent.

Key words: rough set, three-way decisions, adaptive, efficiency of cognition

摘要: 讨论基于三支决策的自适应粗糙集近似方法,给出自适应粗糙集近似属性评价函数的算法。为清楚表达在粗糙集近似过程中对象和属性之间的关系,引入描述集的概念,在描述集的意义下根据属性评价函数对目标概念进行自适应粗糙集近似。最后,把自适应粗糙集近似过程与认知过程进行比较,并分析它们的相似性,借助该近似过程的思想,在一定程度上提高人们的认知效率。

关键词: 粗糙集, 三支决策, 自适应, 认知效率