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概率差别矩阵与不完备信息系统属性约简 被引量:3

Probability Discernibility Matrix and Attribute Reduction for Incomplete Information Systems
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摘要 差别矩阵的概念是基于粗糙集理论对信息系统进行属性约简的一个重要内容。针对不完备信息系统的属性约简本文提出了一种概率差别矩阵的概念与构造方法,给出了相关的定理。在此基础上提出了一种利用概率差别矩阵对不完备信息系统属性约简的方法,并给出了应用举例。 In this paper, the attribute reduction for incomplete information systems is approached. A new concept of probability discernibility matrix is proposed, and the construction method of probability discernibility matrix is given. By use of probability discernibility matrix, a new method of attribute reduction for incomplete information systems is proposed, and, as an application of this method an example is given.
作者 闫德勤
出处 《计算机科学》 CSCD 北大核心 2005年第8期164-166,共3页 Computer Science
基金 国家自然科学基金(60372071) 辽宁师范大学校基金
关键词 粗糙集 概率差别矩阵 属性约简 不完备信息系统 差别矩阵 概率 粗糙集理论 构造方法 矩阵对 Rough sets, Probability discernibility matrix, Attribute reduction
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参考文献5

  • 1Pawlak Z. Rough set approach to multi-attribute decision analysis.European Journal of Operational Research, 1994, 72:443~459.
  • 2Pawlak Z. Rough set theory and its applications to data analysis. Cybernetics and System, 1998, 29(27): 661~688.
  • 3ChenMS, Han J, Yu P S. Data Mining: An overview from a database perspective. IEEE Transaction on Knowledge and Data Engineering, 1996, 8(6):866~883.
  • 4Hu XiaoHua, Cercone N. Learning in relational database: a rough set approach. Computational Intelligence, 1995, 11(2): 323~337.
  • 5Grzymala-Busse J W, Hu M. A comparison of several approaches to missing attribute values in data mining. In: Proc of the 2nd Int'l.Conf. on Rough Sets and Current Trends in Computering. Berlin:Springer Verlag, 2000. 378~385.

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