一种基于等价描述矩阵的规则提取方法

广西师范大学学报（自然科学版） ›› 2011, Vol. 29 ›› Issue (3): 94-100.

一种基于等价描述矩阵的规则提取方法

闫麟, 梁吉业, 王俊红

山西大学计算机与信息技术学院计算智能与中文信息处理教育部重点实验室,山西太原030006

收稿日期:2011-05-05 出版日期:2011-08-20 发布日期:2018-12-03
通讯作者: 梁吉业(1962—),男,山西晋城人,山西大学教授,博导。E-mail:jyliang@sxu.edu.cn
基金资助:
国家自然科学基金资助项目(71031006,60970014)

Rules Extraction Method Based on Equivalence Describe Matrix

YAN Lin, LIANG Ji-ye, WANG Jun-hong

Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Shanxi University,Taiyuan Shanxi 030006,China

Received:2011-05-05 Online:2011-08-20 Published:2018-12-03

摘要/Abstract

摘要： 粗糙集方法是一种有效的处理分类问题的方法,但是它在面对高维数据时,很难依靠属性约简提取出泛化能力较高的规则。这是由于粗糙集约简本身在一定程度上忽略了对象个体对信息系统的影响。为避免此问题,通过描述各个对象与其补集间的差别,提取了各个对象所包含的分类信息。在此基础上,设计了一种新的基于粗糙集的规则提取算法。通过实验分析,验证了本算法比传统算法具有更好的泛化能力。

关键词: 粗糙集, 属性约简, 决策表, 等价类, 等价描述矩阵

Abstract: Rough set method is an effective method of classification,but with high-dimensional data,it is difficult to rely on reduction to extract the rules which have high generalization capability,because the reductionof rough set itself fails to notice the effect of the object on the informationsystem to a certain degree.This paper describes the differences between different objects and extracts the classified information of every object.Then a new rules extraction method is designed based on rough set.And the algorithm is provedto have better generalization capability than the traditional one.

Key words: rough set, attribute reduction, decision datasets, equivalence class, equivalence describe matrix

中图分类号:

TP18

闫麟, 梁吉业, 王俊红. 一种基于等价描述矩阵的规则提取方法[J]. 广西师范大学学报（自然科学版）, 2011, 29(3): 94-100.

YAN Lin, LIANG Ji-ye, WANG Jun-hong. Rules Extraction Method Based on Equivalence Describe Matrix[J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(3): 94-100.

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