摘要
对基于Rough集理论的缺省规则挖掘算法进行了研究,在引入规则支持度概念后,提出了一种基于Rough集的缺省规则挖掘新算法。并将该算法应用于汽车故障诊断领域的知识挖掘。试用表明该算法具有一定的实用价值。
This paper researches into the Rough set theory is deeply researched,and proposes an algorithm MDRBR for mining default rules based on Rough set theory. This algorithm is valuable in theory and practice and would provide new solutions for knowledge discovery in automobile breakdown diagnosis.
出处
《交通与计算机》
2004年第2期63-66,共4页
Computer and Communications
