Fuzzy models for assessing the level of adaptive potential of the central nervous system in engineering and technical personnel

The purpose of the research is to develop a method for assessing the level of adaptive potential of the central nervous system, which allows improving the quality of decisions made in the tasks of forecasting and diagnosing diseases characteristic of engineering and technical personnel. Methods . It is shown that the adaptive potential is a fuzzy variable described in the framework of the classical theory of fuzzy logic. Within the framework of this methodology, for the synthesis of decisive rules for assessing the level of adaptive potential of the central nervous system, normalizing functions of the level of adaptation are introduced for indicators selected from a set of test methods describing the state of the system under study, which are aggregated into the desired hybrid fuzzy model. Considering that engineering work is often accompanied by a high level of psychoemotional stress and mental fatigue, a device for monitoring the functions of attention and memory was chosen to assess the state of the central nervous system, which allows forming the volume of initial data necessary to solve the tasks. Results. In the course of the conducted research, to synthesize the decisive rules for assessing the level of adaptive potential of the central nervous system, taking into account the specifics of the work of engineering and technical workers, a set of informative signs was formed consisting of the level of personal and situational anxiety, concentration of attention and an indicator characterizing the state of RAM blocks, calculated by the method of determining the missing digit. For this set of indicators, the corresponding normalizing functions of the level of adaptation were obtained, the aggregation of which gives the desired fuzzy mathematical model for assessing the level of adaptive potential of the central nervous system. Conclusion . In the course of the conducted research, a method for assessing the level of adaptive potential of the central nervous system was developed and a corresponding fuzzy model for assessing the level of this potential was obtained, focusing on the peculiarities of the work of engineering and technical workers. During the expert assessment and mathematical modeling, it was shown that the confidence in the correct assessment of the level of adaptive potential of the central nervous system exceeds 0.9.