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一种粗糙集属性约简算法

庄静芸 徐中伟 喻钢

计算机工程2009,Vol.35Issue(15):67-69,73,4.
计算机工程2009,Vol.35Issue(15):67-69,73,4.

一种粗糙集属性约简算法

Attribute Reduction Algorithm Using Rough Sets

庄静芸 1徐中伟 1喻钢1

作者信息

  • 1. 同济大学电子与信息工程学院,上海201804
  • 折叠

摘要

Abstract

In order to overcome the incompleteness of reduction definition in classical rough sets theory and no avail of getting the optimal attribute reduction, a new measure of attribute significance is put forward and a concept of decision power is introduced. Accordingly, an improved heuristic algorithm for attribute reduction based on information entropy is proposed. It is analyzed in theory and tested in practice. By means of the test data analysis on CTCS-2 train control center software test platform, the optimal attribute reduction can be successfully obtained by the algorithm, latent relations and rules are also discovered and decision rules are given. It contributes a lot to make more effective decision analysis.

关键词

粗糙集/信息熵/约简/决策规则

Key words

rough sets/ information entropy/ reduction/ decision rule

分类

信息技术与安全科学

引用本文复制引用

庄静芸,徐中伟,喻钢..一种粗糙集属性约简算法[J].计算机工程,2009,35(15):67-69,73,4.

基金项目

国家自然科学基金资助项目(60674004) (60674004)

铁道部科技研究开发计划基金资助项目(2007X003) (2007X003)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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