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Scenario-information analysis and modeling of adaptive training of specialists groups based on a fuzzy ontological approach

The article shows the problem of reducing the efficiency and quality of the formation of control actions by the head of the class when preparing groups of specialists to perform complex tasks agreed on time, place and goals in organizational and technical systems of various purposes due to the influence on the psychophysiological capabilities of the head of the class of increasing the density of the flow of incoming information at the stages of working out the interaction between groups of specialists in a single virtual space. The use of intelligent methods to solve this problem is substantiated and a method of scenario-information analysis of adaptive training of groups of specialists is proposed, the essence of which is to build a scenario-information model of adaptive training based on a fuzzy ontological approach, taking into account the availability of resources, the current state of specialists (current level of preparedness) and precedent scenarios of adaptive training for subsequent modeling of this process and estimates of its achievability under various preparation scenarios. A fuzzy ontological approach to modeling adaptive training of groups of specialists using granulation of information resources is proposed, which makes it possible to organize the training process more efficiently, including in conditions of limited time and material resources. The results of experimental studies on improving the level of preparedness of group specialists through intelligent management of their adaptive training are shown. Read more...

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. Read more...