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基于粗糙集理论的故障诊断规则获取方法研究 被引量:2

A Method of the Rule Generation in Fault Diagnosis Based on Rough Set
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摘要 提出了基于粗糙集理论的故障诊断规则获取方法,该方法通过决策系统的可辩识矩阵和分辨函数计算核和所有的约简集,以约简集为初始节点,建立层状节点网络模型,对于各节点,提取符合可信度要求的诊断规则写入规则集中。通过应用表明,方法是确实可行的。 A method of rule generation based on Rough set is presented.The method creates the core and a series of the reduction sets from discernibility matrix and discernibility function of the known decision system.With the reduction sets as first nodes,the nodes network model of different reductive levels is developed.Its own rule sets with suitable confidence is reasoned at each node.By an example the correctness of the method is verified.
出处 《计算机工程与应用》 CSCD 北大核心 2003年第26期64-65,118,共3页 Computer Engineering and Applications
基金 江苏省自然科学基金资助项目(编号:BK2001095)
关键词 粗糙集 故障诊断 可辩识矩阵 决策系统 Rough set,fault diagnosis,discernibility matrix,decision system
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参考文献8

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共引文献285

同被引文献14

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