Situational management of military units with intelligent decision support

DOI: 10.31673/2412-9070.2025.020534

Abstract

Situational management systems are an important component of ensuring adequate operational management for the elimination of natural and man-made emergencies using situational centers, which are organizational and technical complexes supporting situational management processes, the basis of which is modern information systems for the implementation and control of management decisions through comprehensive monitoring of the development of emergencies, factors influencing them and analysis of situations occurring in the management environment. The large amount of input information used in decision-making leads to a significant decrease in the quality of decisions. The use of intellectualization tools based on the experience of military specialists who have experience in preparing and conducting combat operations allows significantly increasing the effectiveness of operational decisions.
The most acceptable method of implementing effective decisions is an intelligent decision-making support system for military purposes, built on a situational approach using fuzzy logic. The approach to implementing a system based on fuzzy situational networks with ranking of possible transitions proposed in this article allows optimizing the total real losses from transitions in the network from the current situation to some standard one, if the current situation has the corresponding degree of fuzzy inclusion in this standard one, not less than 0.7-0.8. Otherwise, it is proposed to form a new standard situation with an effective operational military decision by experienced military experts. Thus, the existing fuzzy situational network can be corrected, which ensures its evolution. The formation of a new standard situation is proposed to be carried out on the basis of the method of mixed fuzzy expert assessments of alternatives proposed in the article.

Keywords: situational management, information, information technology, modeling, decision-making, methodology, algorithm, technology, management strategy, fuzzy logic.