摘要
为了提高以先验知识进行智能诊断的效率,对粗糙集理论的约简算法进行了研究,提出了基于可分辨矩阵一种改进的属性约简算法,将其应用于装载机故障诊断决策表的属性约简.实践证明该算法对属性约简是有效的.
In order to improve the efficiency of intelligent diagnosis based on prior knowledge, the attribute reduction in Rough Set theory is discussed. An improved algorithm for attribute reduction based on discernibility matrix is given and is used for the decision table reduction on loader fault diagnosis. The practice proves that it can get better effect.
出处
《三峡大学学报（自然科学版）》
CAS
2006年第2期133-136,共4页
Journal of China Three Gorges University：Natural Sciences
基金
国家高技术研究发展计划(863计划)资助项目(2003AA430190)
关键词
粗糙集理论
属性约简
可辨识矩阵
故障诊断
rough sets theory
attribution reduction
discernibility matrix
fault diagnosis
