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基于RS和GA结合的属性约简在设备诊断维护中的应用
Attribute Reduction Combining RS with GA in Diagnosis and Maintenance
【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。
【Abstract】 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.
【关键词】 粗糙集;
遗传算法;
属性约简;
诊断学;
【Key words】 rough set; genetic algorithm; attribute reduction; diagnosis;
【Key words】 rough set; genetic algorithm; attribute reduction; diagnosis;
- 【文献出处】 机械与电子 ,Machinery & Electronics , 编辑部邮箱 ,2007年10期
- 【分类号】TP18
- 【下载频次】37