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《Coal Mine Machinery》 2010-05
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Fault Search Method of Fuzzy Multi-attribute Decision-making Based on Grey Relational Degree

YAO Cheng-yu1,WANG Xu-feng1,CHEN Dong-ning2,ZHANG Ying-yi1(1.Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao 066004,China;2.Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control,Yanshan University,Qinhuangdao 066004,China)  
In order to overcome the disadvantages of FTA(fault tree analysis) in searching for faults,a fault search method is developed by using fuzzy multi-attribute decision-making based on grey relational degree.Using FTA and considering minimal cut sets’ fault probabilities and search cost simultaneously,credible degree is described as grey degree.And then,the grey relational degree of minimal cut sets to grey fuzzy ideal solutions are computed.Secondly,relative closeness degree is achieved.An optimal search order is found.The rapidity and accuracy of fault diagnosis and objective creditability of the result of search decision-making are improved.An example is given to show its feasibility.
【Fund】: 国家自然科学基金资助项目(50905154)
【CateGory Index】: TH165.3
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