Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (1): 145-147.

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Heuristic attribute reduction based on tolerance matrix

WANG Shuai1, XU Zhangyan1, TAN Zongfeng2, SHU Wenhao1   

  1. 1.School of Computer Science and Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
    2.School of Mathematical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
  • Online:2013-01-01 Published:2013-01-16

一种相容矩阵的启发式属性约简算法

王  帅1,徐章艳1,谭宗凤2,舒文豪1   

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

Abstract: For an incomplete information decision table, Huang Bing proposed an attribution reduction algorithm using a tolerance matrix based on tolerance relationship. But the algorithm is time-consuming, and the time complexity of this algorithm is[O(|C|3|U|2)]. For cutting down the time complexity of the attribution reduction algorithm, using the matrix distance as heuristic information, with the characteristics of the conjunctive matrix, a new algorithm is designed, the time complexity of the algorithm is reduced to[O(|C|2|U|2)]. Finally, an example is used to illustrate the new algorithm.

Key words: incomplete decision table, tolerance matrix, matrix distance, attribute reduction

摘要: 针对不完备决策表,黄兵给出一种基于容差关系的相容矩阵的属性约算法,但算法比较费时,其时间复杂度为[O(|C|3|U|2)]。为降低原算法的时间复杂度,以矩阵距离为启发信息,并运用矩阵合取的特性,设计了一个新的属性约简算法,算法时间复杂度降为[O(|C|2|U|2)]。通过实例验证了该算法。

关键词: 不完备决策表, 相容矩阵, 矩阵距离, 属性约简