计算机科学 ›› 2009, Vol. 36 ›› Issue (8): 268-269.

• 人工智能 • 上一篇    下一篇

分析方法为基础的粗糙集容差关系和PCA不完备信息系统

王峻慧   

  1. (重庆师范大学经济与管理学院 重庆400047)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Rough Sets Tolerance Relation Based on Analyzing Method and PCA Incomplete Information System

WANG Jun-hui   

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

摘要: 如何在不完备信息系统中利用已有的数据进行属性约简、获取属性权重一直是粗糙集理论中的一个研究重点。提出了一种在不完备信息系统中基于相容关系和PCA(主成份分析)相结合的粗糙集分析方法,这种方法属于启发式的数据分析方法。给出了这种分析方法的算法和一个算例。结果表明,该方法能够较准确地确定决策表的核,并用定量分析的方法获取属性权重。

关键词: 相容关系,主成份分析(PCA),粗糙集,属性约简

Abstract: How to acquire the optimal attributes reduction and weighs of attributes in incomplete information system is a hot topic for researching in rough sets theory recently. A rough set analysis method based on tolerance matrix and principle component analyze was provided in incomplete information system, which is one of heuristic data analyzing methods. Corresponding algorithm and an example were also given in this article. hhe method provided in this paper was compared with other methods. The result shows the method provided in this paper can find efficiently the core of an incomplete information system and acquire weighs of attributes through quantitative analyses.

Key words: Tolerance matrix, Principle component analyze, Rough sets, Attributes reduction

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