计算机科学 ›› 2012, Vol. 39 ›› Issue (4): 201-204.

• 人工智能 • 上一篇    下一篇

不完备决策表中基于对象矩阵属性约简算法

王炜,徐章艳,李晓瑜   

  1. (广西师范大学计算机科学与信息工程学院 桂林541004)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Attribute Reduction Algorithm Based on Object Matrix in Incomplete Decision Table

  • Online:2018-11-16 Published:2018-11-16

摘要: 基于差别矩阵的属性约简是粗糙集属性约简中最常用的方法。对通常给出的以存储条件属性为基础差别矩 阵进行比较后,给出一种对象矩阵的定义。对象矩阵从相容类内对象的决策值与条件属性的关系出发,存储的是对象 集。给出对象矩阵的属性约简定义,证明了属性约简与基于正区域的属性约简的等价性。给出一个启发式的属性约 简算法,其时间复杂度为maxCO}I}I} IUD:一U一),()(一CIIUI}W,空间复杂度为()(一日IUIz);通过实例说明方法的 可行性。

关键词: 差别矩阵,属性约简,对象矩阵,正区域,约简算法

Abstract: Attribute reduction based on discernibility matrix is the most common methods in rough set attribute reduc- lion. Compared with discernibility matrix based on storage condition attribute,object matrix was defined in this paper. This object matrix uses the relationship between the decision value of the objects in tolerance class and condition attrib- ute,and what it stores is object set. hhen the definition of attribute reduction based on object matrix was given. It is proved that the attribute reduction acquired from this new method is ectuivalent to that based on positive region in in- complete information system. A heuristic algorithm for attribute reduction was presented which time complexity is max (()(I CI z I叽IIUI),()(ICI)),and space complexity is()(ICI).An example was used to illustrate the feasi- bility of this new algorithm.

Key words: Discernibility matrix, Attribute reduction, Obj ect matrix, Positive region, Reduction algorithm

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