Civil Aviation Flight Safety: Pilot Properties Soft Computing

Abstract

The commercial competition leads to aviation accidents. It forces airlines to reduce the cost of purchasing, leasing, and maintenance of aircraft. The air carrier saves on professional training of personnel, on an arbitrary increase in the workload standards, on the use of flight crews with minimal and untenable experience in chronic fatigue conditions. Theory and methods of the characteristics of specialists remain uncertain. Statistical data and expertise may be piecewise-defined, inaccurate, and inconsistent. To calculate the dependability of flight crews based on workload and experience, it is necessary to establish indicators and values of acceptable accuracy using fuzzy measures. It is proposed soft computing, statistical and expert methods for calculating the properties of a person and social groups in the management of dangerous professions. This makes it possible to calculate the dependability of the pilot properties with an assessment of flight safety risk levels for making management decisions. The results of the work are new standards for the workload of flight crews recommended for civil aviation. Results are obtained in qualitative methods for calculating efficiency, security, and risk states in the management of organizational objects as airlines. We obtained indicators for air transport risk management standards and decision-making tools. Calculated indicators of pilot dependability values are a model for developing the airline's strategy, for quantitative assessments of flight specialists, standardizing professional activities, and managing training costs.