摘要
本文对Skowron差别矩阵[1]进行扩展,提出了一种不求决策表属性约简,直接获取决策规则的方法。此外,该方法只需根据同一决策类中扩展差别矩阵元素来提取规则,且不会造成规则冲突,适合于分布规则提取。
In this paper, by expanding Skowron's discernibility matrix, we put forward a method to extract rules from a decision table The method processes the data in advance so that the extraction of classification rules can be efficiently done in a distributed way. Moreover, the method allows direct acquisition of rules without computing attribute reductions
出处
《计算机科学》
CSCD
北大核心
2008年第3期231-233,共3页
Computer Science
基金
福建省自然科学基金资助项目(A0610014)
福建省高新科技重点资助项目(2005H028)
关键词
粗糙集
规则获取
差别矩阵
Rough sets, Rules obtaining, Discernibility matrix