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基于分解合并策略的属性约简算法
引用本文:王俊祥,胡峰.基于分解合并策略的属性约简算法[J].计算机工程与应用,2008,44(11):161-164.
作者姓名:王俊祥  胡峰
作者单位:1. 重庆文理学院,基础学院,重庆,402168
2. 重庆邮电学院,计算机科学与技术研究所,重庆,400065
摘    要:在基于粗集理论的知识获取研究中,属性约简是最核心的工作之一。结合分治法的思想,从论域划分的角度将一个大的决策表分解成两个子决策表,并利用经典的属性约简算法计算两个子决策表的约简,在此基础上利用合并约简算法将这两个子决策表合并,并求出原问题的解。该方法为解决大数据集的属性约简提供了一个新的途径。实验说明了算法的有效性。

关 键 词:粗集  属性约简  条件类集  分治
文章编号:1002-8331(2008)11-0161-04
收稿时间:2007-7-31
修稿时间:2007年7月31日

Attribute reduction algorithm based on decomposition and merging strategy
WANG Jun-xiang,HU Feng.Attribute reduction algorithm based on decomposition and merging strategy[J].Computer Engineering and Applications,2008,44(11):161-164.
Authors:WANG Jun-xiang  HU Feng
Affiliation:1.College of Fundamental Science,Chongqing University of Arts and Sciences,Chongqing 402168,China 2.Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
Abstract:In the research of knowledge acquisition based on rough set theory,attribute reduction is a key problem.In this paper,combining with the idea of divide and conquer method,an intact decision table is decomposed into two sub-decision table with same condition and decision attributes,according to partition of its universe.Then,attribute reduction results of the two sub-decision tables are computed in terms of classic attribute reduction algorithms.Finally,the two sub-decision tables are merged into the intact decision table by merging reduction algorithm presented,and the reduction process of original decision table is implemented.Experimental results demonstrate the validity of algorithms.
Keywords:rough set  attribute reduction  condition class set  divided and conquer
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