【摘要】 Rough集理论提供了一种新的处理不精确、不完全与不相容知识的数学方法。从不一致决策表中快速而有效地挖掘出缺省规则是决策规则挖掘研究的一个热点。MDRBR算法采用单一的规则支持度阈值进行缺省规则的挖掘,这不利于有效地挖掘出用户感兴趣的缺省规则。为此,该文对MDRBR算法进行了改进,并提出了一种基于多重支持度的的缺省规则挖掘算法-MSMDRBR算法,MSMDRBR算法可依据多重支持度阈值合理地取舍决策规则,因而具有一定的实用意义。更多还原

【Abstract】 Rough Sets theory is a new mathematical method to deal with imprecise,incomplete and inconsistent data.How to speedily and effectively mine default rules is a key focus from inconsistent decision table.MDRBR algorithm uses uniform minimum support threshold for mining default decision rules,the method can not effectively mine the interesting default decision rules to users.This paper proposes an algorithm of Mining Default Rules with Multiple Supports -MSMDRBR.Algorithm MSMDRBR improves effectively MDRBR algorithm and reasonably accepts or rejects decision rules by multiple supports,so the algorithm has real importance.更多还原