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基于粗集理论的决策表知识获取方法研究
引用本文:冯林,刘照鹏,黄志伟.基于粗集理论的决策表知识获取方法研究[J].计算机工程与设计,2006,27(12):2172-2174.
作者姓名:冯林  刘照鹏  黄志伟
作者单位:1. 西南交通大学,计算机与通信工程学院,四川,成都,610031;四川师范大学,工程技术系,四川,成都,610072
2. 四川师范大学,工程技术系,四川,成都,610072
摘    要:对决策表各条件分类和决策分类集合之间的关系进行了研究,提出了直接从各分类中计算决策表核及属性约简方法:依据属性约简,创建了一个多变量决策树;在此基础上,阐述了提取决策表中蕴含规则的方法,从而省去了在约简后的决策表中计算值约简步骤;通过实例,验证了这些方法的有效性。

关 键 词:粗集  决策信息系统    知识约简  决策规则
文章编号:1000-7024(2006)12-2172-03
收稿时间:2005-04-30
修稿时间:2005-04-30

Research on knowledge acquisition from decision table based on rough sets theory
FENG Lin,LIU Zhao-peng,HUANG Zhi-wei.Research on knowledge acquisition from decision table based on rough sets theory[J].Computer Engineering and Design,2006,27(12):2172-2174.
Authors:FENG Lin  LIU Zhao-peng  HUANG Zhi-wei
Affiliation:1, School of Computer and Communication Engineering, Southwest Jiaotong University, Chengdu 610031, China; 2. Department of Engineering and Technology, Sichuan Normal University, Chengdu 610072, China
Abstract:The relationship between conditional equivalence classes and decision equivalence classes are researched in detail. From those classes, methods of core and attribute reduction are presented, According to attribute reduction, a similarity decision tree is created. On the basis of the tree, a method of acquisition decision rules is presented, and the advantage of using this method is to omit value reduction in decision table, An example illustrates the efficiency of those methods.
Keywords:rough sets  decision information system  core  knowledge reduction  decision rule
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