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本文将人工智能技术引入航空维修管理工程,从而建立集中专家智慧的宏观管理专家系统。文中提出基于模糊集理论的推理模型,基于随机集落影和集值统计理论获取知识和自适应修正的新方法——特征值法,以及PROLOG的系统实现途径。该方法可定量评估航空维修系统效能,诊断系统异常的原因。
In this paper, artificial intelligence technology is introduced into the aviation maintenance management project, so as to establish a macroscopic management expert system focusing on experts’ wisdom. In this paper, the reasoning model based on fuzzy set theory, the new method of obtaining knowledge and adaptive correction based on stochastic set offsets and set-valued statistics theory - eigenvalue method and the system realization of PROLOG are proposed. The method can quantitatively assess the effectiveness of aviation maintenance system and diagnose the causes of system anomalies.