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决策表的一种知识约简与规则获取方法
引用本文:孙胜. 决策表的一种知识约简与规则获取方法[J]. 微机发展, 2006, 16(9): 35-37
作者姓名:孙胜
作者单位:华中科技大学计算机学院 湖北武汉430074,黄石理工学院计算机学院,湖北黄石435003
摘    要:粗糙集理论是一种新型的数据挖掘和决策分析方法,利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。文中介绍了粗糙集的基本理论,在此基础上运用该理论对从决策表中获取最小规则进行了研究,提出了决策表约简的启发式方法,并通过一个具体实例详细说明了决策规则获取过程,实例分析表明了其有效性。

关 键 词:粗糙集  决策表  决策规则  属性约简
文章编号:1673-629X(2006)09-0035-03
修稿时间:2006-02-28

Knowledge Reduction and Rule Acquirement Method in Decision Table
SUN Sheng. Knowledge Reduction and Rule Acquirement Method in Decision Table[J]. Microcomputer Development, 2006, 16(9): 35-37
Authors:SUN Sheng
Abstract:Rough set theory is a new data mining and decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The article introduces basic concepts in rough set theory first.Minimal decision rule acquirement in decision table based on rough set theory is researched.A heuristic approach for rule reduction is put forward,and the procedure of decision rule acquirement is illuminated using an example.The instance analysis shows its validity.
Keywords:rough set  decision table  decision rule  attribute reduction
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