Application of fuzzy logic in the development of expert systems for the assessment of professional competence
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The paper continues the series of publications aimed at developing the concept of architecture and composition of algorithms for an expert system intended to increase the efficiency of flight safety inspectors’ training. The research relevance and problem statement were published in “Analysis of applying the expert systems for diagnosis of troublesome areas in the system of training pilots for civil aviation” which revealed the factors affecting the formation of air staff’s professional competence. It was also noted that the most of the factors could be corrected during training. The research results presented in “Development of the architecture of an expert system for diagnosis of troublesome areas in air personnel’s training” are a follow-up for the study. The development of architecture for an expert system was based on amount and quality of the information about the results of air accidents investigations as well as the results of IT technological advances. The article points out that developing and implementing an expert diagnosis system should include several stages, the stage of knowledge evaluation being the most important. This determines the relevance of the presented paper aimed to develop an efficient tool set for evaluating air staff’s knowledge and professional competence.
Key words: competence, civil aviation, fuzzy logics, expert systems.
*Publication was prepared within the framework of project No. 19-08-00028, supported by a grant from the Russian Foundation for Fundamental Research (RFFI).
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