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一种基于粗糙集的单一属性分类的约简方法
引用本文:康胜武,曾一锋,王华火,王应明. 一种基于粗糙集的单一属性分类的约简方法[J]. 厦门大学学报(自然科学版), 2001, 40(4): 1000-1003
作者姓名:康胜武  曾一锋  王华火  王应明
作者单位:厦门大学自动化系,
基金项目:高等学校青年骨干教师基金(教计师(2000)65)和福建省自然科学基金(A0010002)资助项目
摘    要:粗糙集的应用中,对象集通常具有数量大、属性多、单一属性分类大的特点,这是在已有知识基础上提出规则时所遇到的3个主要问题,针对其中单一属性分类的约简问题提出了一种新的方法,它采用了先合并分解再综合的思想简化问题的求解,能快速有效地发掘信息中蕴涵的规则。

关 键 词:粗糙集 属性约简 属性核值表
文章编号:0438-0479(2001)04-1000-04
修稿时间:2000-05-09

An Reduction Approach for Single AttributeClass Based on Rough Sets Theory
KANG Sheng wu,ZENG Yi feng,WANG Hua huo,WANG Ying ming. An Reduction Approach for Single AttributeClass Based on Rough Sets Theory[J]. Journal of Xiamen University(Natural Science), 2001, 40(4): 1000-1003
Authors:KANG Sheng wu  ZENG Yi feng  WANG Hua huo  WANG Ying ming
Abstract:During the application of the Rough sets, the object sets usually have a character of large quantity, attributes and single attribute class. These problems appear when the regulation is proposed based on the past knowledge. With the view of single attribute class, this paper proposes a new method which is combining class firstly, then discomposing, last synthesizing. This way can simplify the solution and mine the regulation in the information quickly and sufficiently.
Keywords:rough sets theory  attribute reduction  value reduction
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