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中国管理科学 ›› 2003, Vol. ›› Issue (4): 91-95.

• 论文 • 上一篇    下一篇

基于粗糙集的不一致信息系统规则获取方法

菅利荣, 达庆利, 陈伟达   

  1. 东南大学经济管理学院 南京 210096
  • 收稿日期:2002-10-14 修回日期:2003-06-13 出版日期:2003-08-28 发布日期:2012-03-06
  • 基金资助:
    教育部基金资助项目(01JA630048)

A Method of Rule Induction Based on Rough Set Theory in Inconsistent Information System

JIAN Li-rong, DA Qing-li, CHEN Wei-da   

  1. College of Economics and Management, Southeast University, Nanjing 210096, China
  • Received:2002-10-14 Revised:2003-06-13 Online:2003-08-28 Published:2012-03-06

摘要: 本文提出了一种基于粗糙集的既能学习决策性分类规则也能学习非决策性分类规则的方法,目的是获得更一般、更可靠的分类规则,并设计了相应的算法。算法的基本思想是允许用户在学习分类过程中指定三个参数:最小的支持度、分类规则必须满足的一致度、覆盖度,据此推导出满足参数要求的规则。最后将该方法应用于一个算例中,提取了满足给定参数阈值的规则。该方法在处理噪音数据及大型数据库分析等方面具有较强功能。

关键词: 粗糙集, 变精度粗糙集, 信息系统, 概率规则获取

Abstract: A method of rule induction based on rough set theory,which is capable of learning both deterministic and non-deterministic classification rules,is discussed.The method makes the classification rules more general and reliable.An algorithm is put forward.The basic idea is to allow users to specify three parameters:strength,consistency and coverage,then the classification rules that satisfy the requirements are induced.At the end of the paper,the rules which meet the specified criteria are derived by applying the method to an example.The method is robust in dealing with noisy data and in analyzing large databases.

Key words: rough sets, variable precision rough set, information system, induction of probabilistic rules

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