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    基于模糊逻辑的专家系统研究与实现

    The Research and Implementation of an Expert System Based on Fuzzy Logic

    • 摘要: 本文将模糊逻辑引入专家系统领域。阐述了模糊知识的含义表示法和模糊推理的基本规则并在此基础上设计了某设备故障诊断专家系统FDESE。在这一系统中,把领域专家在问题求解时所使用的知识抽象为事实性知识和诊断性知识,分别采用了二元组和模糊规则的表示方法;提出了一种多层正反向混合模糊推理策略,并设计了一组传播函数以计算结论的不确定性.

       

      Abstract: This paper discusses the meaning representation of fuzzy knowledge and the basic rules of fuzzy reasoning,and presents the design of the Fuzzy Diagnosis Expert System of Equipment (FDESE).In the FDESE,the fuzzy knowledge used by the diagnosis expert are divided into two parts: factual knowledge and diagnostic knowledge which adopt two-tuple and rule representation methods respectively.In the fuzzy reasoning mechanism of FDESE,we put forward the multi-class forward- backward fuzzy reasoning approach to simulate the reasoning process of expert and design a set of propagating function to calculate the uncertainty of the conclusion.

       

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