Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (19): 61-65.

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Matrix algorithm for attribute reduction in information system

WANG Ruimin1, ZHAO Ye1, MI Jusheng1,2   

  1. 1.College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024, China
    2.Key Laboratory of Computational Mathematics with Applications, Shijiazhuang 050024, China
  • Online:2014-10-01 Published:2014-09-29

信息系统中属性约简的矩阵算法

王瑞敏1,赵  晔1,米据生1,2   

  1. 1.河北师范大学 数学与信息科学学院,石家庄 050024
    2.河北省计算数学与应用重点实验室,石家庄 050024

Abstract: Attribute reduction is one of the most key issues of knowledge discovery. It is also a core problem in the rough set theory. The main objective of the paper is to propose a series of matrices, such as the relation matrix, the upper(lower) distribution matrix, the fuzzy upper(lower) distribution matrix and the decision matrix. Then, the matrix algorithm of the upper(lower) distribution reduction in variable precision rough sets and the matrix algorithm of the fuzzy upper(lower) distribution reduction, the decision reduction in the fuzzy decision information system are obtained.

Key words: variable precision rough sets, fuzzy decision information system, distribution reduction, decision reduction, matrix algorithm

摘要: 属性约简是知识发现的重要课题,也是粗糙集理论的核心问题之一。主要通过定义关系矩阵、上(下)分布矩阵、模糊上(下)分布矩阵和决策矩阵,用矩阵算法计算信息系统中变精度粗糙集模型的上(下)分布约简和模糊目标信息系统中的上(下)分布约简以及决策约简。

关键词: 变精度粗糙集, 模糊目标信息系统, 分布约简, 决策约简, 矩阵算法