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以汽车故障诊断专家系统中发动机异响故障的处理为具体讨论对象；以人工智能语言Ｐｒｏｌｏｇ为表述语言；讨论了具有多证据导出多结论特点的复杂不确定知识的处理方法。给出了一种知识表示和获取模型，以及－个基于当前结论状态的启发式推理策略。
The dissertation deals with the processing of engine abnormal noise fault in the expert system of automobile fault diagnosis. It takes the artificial language Prolog as the representation language and discusses the processing method of complex uncertain knowledge with multi-evidence. A knowledge representation and access model is given, and a heuristic reasoning strategy based on the current state of the conclusion.