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《Henan Science》 2011-01
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The Improvement of Airborne Electronic Equipment Fault Diagnosis Expert System Based on Rough Set

Chen Xiaxia,Chen Jingjie(Aviation Automation Institute of Civil Aviation University of China,Tianjin 300300,China)  
For the corresponding relationship between the fault symptom and fault inducement in the airborne electronic is complex,some experiential expert knowledge in equipment fault diagnosis field is ambiguous and uncertain to some extent.The strong data analysis ability and fault tolerant ability of the Rough Set Theory is utilized in the paper,the redundancy information in the expert system is wiped off and the unnecessary properties are eliminated,so the complexity of the fault diagnosis expert system is reduced and the overall efficiency of the expert system is improved.
【CateGory Index】: TN07
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【Citations】
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