THE APPROACH IMPROVEMENT TO AUTOMATED SITUATIONAL MANAGEMENT OF FORCES (TROOPS) AND AIR DEFENSE EQUIPMENT
Natalia Korolyuk, А.О. Романюк, А.Ю. Бутенко, Bohdan Rud · Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки · 2025
The article analyzes the process of forces (troops) situational control using problem-oriented knowledge bases, taking into account the peculiarities of the decision-making process when solving air defense missions. The experience of combat operations conducting has shown that the main features of commanding forces, especially air defense forces at the present stage, are taking into account the increased complexity of their application, the scope and speed of changing the situation. The analysis has shown that the decision-making cycle duration and the management teams (action plan) formation based on it when using traditional methods is significantly longer than the average statistical time period of changing the situation, when a radical revision of a previously adopted decision may be required. It is proposed to use an approach based on the acquisition, processing and formalization of expert knowledge when building an automated system of situational forces (troops) control and air defense tools. As a result of the study, it was established that the forces (troops) and means controlling process can be conditionally divided into two stages (control modes): early preparation of forces (troops) and means for their combat application and direct situational control during combat operations. It was established that the complexes of functional missions that are solved during air defense activities and are the basis of the special mathematical and software of the automated system of situational control of forces (troops) should be built according to the hierarchical principle using mathematical models with the appropriate degree of detail of the control processes. The following stages are proposed during the development of special mathematical and software for automated systems of forces situational control: visual cognitive models development of problem situations in accordance with the proposed plan for the forces (troops)use; generation of alternative ways of problem solving situations based on associative search for ways to solve similar problems; development of methods for collecting and analyzing large- scale and dimensional statistical data (“big data”) in order to obtain rules for classifying recurring situations. The proposed approach to automated situational force management implementing includes the stages of a knowledge base preparing for the process of forces (troops) application and analyzing the results of combat operations in order to adjust models and methods of situational management.