摘要
为了得到决策表的较优约简,将粗糙集的定性分析功能与遗传算法的全局最优解搜索功能有机结合,并用于诊断知识模型的约简求解。该法具有较强的自学习性能,且在实例应用中取得了满意的效果。
In order to get better reduction, the algorithm combining the qualitative analysis in rough set with the global optimal solution search in genetic algorithm has been applied to acquire concise rule knowledge by reducing the fault symptoms effectively. And it is better in self - taught. The experimentation results show its rationality and reliability.
出处
《机械与电子》
2007年第10期43-45,共3页
Machinery & Electronics
关键词
粗糙集
遗传算法
属性约简
诊断学
rough set
genetic algorithm
attribute reduction
diagnosis
