航空维修宏观管理的人工智能方法

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。

A.I. METHOD OF MACROSCOPIC MANAGEMENT ON AIRCRAFT MAINTENANCE

This paper introduces the A.I. technique into the field of aircraft maintenance management engineering so as to establish a macroscopic management expert system which pools the wisdom or experts. It presents the reasoning model developed on the basis of the theory of Fuzzy Sets, and a new method of knowleage acquisition and revision according to the theory of fall-shadows ofrandom sets and set valued statistics--the Characteristic Value Method. Thepaper also explores the way to implement the system in PROLOG language. This method may be applied to making an overall and partial quantitive estimation on the potency qf aircraft maintenance system and diagnosing the abnormality of the system. The rate of conformity comes up to 92.6%.