Intelligent management of the training of groups of specialists in organizational and technical systems based on cluster analysis and predictive modeling

The article presents an approach to intelligent management of the training of groups of specialists in organizational and technical systems based on predictive modeling of the achievability of goals and cluster analysis, which allows solving the problem of qualitative planning of the process of training groups of specialists in time-limited conditions by adaptive formation of its structure and choosing a rational amount of educational information corresponding to the capabilities of trained specialists in its processing and assimilation. For this purpose, based on cluster analysis, it is proposed to form homogeneous classes of specialists taking into account their individual cognitive characteristics in order to subsequently build reference scenarios for each class of specialists of the necessary complexity by changing the volume of training content. The reference scenario is the basis for building a scenario-information model of the process of training groups of specialists in organizational and technical systems, which is a static model of this process and contains the whole set of possible scenarios. Based on the proposed scientific and methodological apparatus, the scenario-information model is transformed into a modified soft temporal Petri net for modeling the process of training groups of specialists. The simulation results underlie management decisions in the intelligent management of the process of training groups of specialists in organizational and technical systems.