基于粗糙集的时序信息系统决策规则挖掘策略  

An Approach to Mining Decision Rules Based on Rough Set from Time Series Information System

作　　者：姚晓昆[1] 罗丁[1] 

机构地区：[1]南昌大学计算机系,江西南昌330031

出　　处：《计算机与现代化》2009年第12期39-41,181,共4页Computer and Modernization

摘　　要：在时序信息系统中,基于粗糙集规则获取的一般算法尽管可以产生所有可能的规则集,但是通常规则集中有些规则存在覆盖现象。而从规则集中去除所有的冗余规则是非常费时且不实际的。本文提出一个改进的规则获取策略直接获得最小规则集。通过具体算例分析验证了所提出的策略是有效的。In the timing information system, although the general algorithm of rules access based on rough set can generate all possible rules, there are usually some set of rules which have phenomenon of coverage. The removal of redundant rules from the set of rules is very time-consuming and not practical. This paper presents an improved strategy of rules access to directly access the smallest set of rules with analysis of specific examples to verify effectiveness of the proposed strategy.

关 键 词：粗糙集 时序信息系统 决策规则 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]