摘要
粗分析方法是从决策表中挖掘规则,克服知识获取瓶颈的一种有效方法。基于粗糙集理论,文章讨论了粗分析获取规则的几个问题,提出了相应的解决方法。如实用中决策表的约简会导致部分信息丢失,而规则适当的冗余可以解决这个问题。其次,研究了不完全决策表的规则粗分析,为不完全决策提供了基础。
: Rough set data analysis(RSDA)is a useful tool for mining rules from decision tables,which solves the bottleneck of knowledge acquisition effectively.Base on rough set theory,some problems about RSDA are discussed in this paper.A new view that in noisy domains knowledge reduct can induce the loss of part information contained in decision table,is advanced and redundancy may work.Furthermore,rules acquisition from incomplete decision tables is also demonstrated for decision.
出处
《计算机工程与应用》
CSCD
北大核心
2001年第17期117-119,137,共4页
Computer Engineering and Applications