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出 处:《上海交通大学学报》1999年第9期1103-1106,共4页Journal of Shanghai Jiaotong University
摘 要:基于现有不确定知识的表示和推理方法的不足,提出了一种新的图论结构——模糊元图,给出了模糊元图的一系列定义,并探讨了其数学特性.模糊元图具有很强的图形化描述功能和形式化分析能力,它描述的是集合而非单个元素之间的关系,并能有效地表示和处理模糊信息.利用模糊元图的邻接矩阵闭包可实现以离线计算为主的推理方式,避免不必要的重复计算,并可大大减少搜索空间,从而极大地提高实时推理效率.将其应用在飞行器故障诊断中,取得了很好的效果.The representation ofuncertainty knowledge in faultdiagnosis isone ofthe hotresearch areas. In order to avoid deficiency of the conventional m ethods, this paper proposed a new graph theoretic construct——fuzzy m etagraphs and a series of definitions, and focused on its m athem atical properties. Fuzzy m etagraphscan effectively describe therelationshipsbetw een setsoffuzzy elem entsinstead ofsingle fuzzy elem ents and offer som e distinct advantages for graphicalvisualization of system s, as wellas for form al analysis of system structure and behavior. Based on the closure of adjacent m atrix of fuzzy m etagraph, it further presented an optim ized inferential m echanism w orking m ainly in an off line approach, w hich can avoid repeated com putations and largely reduce the searching space, hence raise the efficiency ofinference greatly. Finally, itw as applied in the faultdiagnosis for aerocraftand the resultof experim ents is satisfactory.
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