Analysis of Learning Efficiency of Expert System for Decision-Making Support in Aviation

To provide a high level of efficiency for aviation equipment, the operation system is used. The operation system provides decision-making support for the implementation of control and preventive maintenance actions based on the results of statistical data processing. New industrial technologies during operational processes correspond to predictive and prescriptive approaches associated with using artificial intelligence methods and systems. Expert systems are widely used as artificial intelligence-based computer system to emulate human-expert decision-making. This paper is focused on the efficiency analysis of the expert system for decision-making support in aviation. The aim of this research is connected to the analysis of different learning techniques for the expert system based on a probabilistic approach.