FFunctional model of the decision-making support system in the strategic communications system of the Armed Forces of Ukraine

During the full-scale armed aggression of the russian federation, which began on February 24, 2022, against Ukraine, the Armed Forces of Ukraine faced powerful challenges to protect national security and territorial integrity. Military-strategic communications played an important role in maintaining internal stability and ensuring trust in the government and the Armed Forces. Effective decision-making in such conditions requires a decision support system that ensures fast and accurate processing of a large amount of information and provides recommendations with appropriate justification based on data analysis. It is especially important to take into account the large amount of information that comes from various sources and needs to be processed and analyzed in real time. In this article, we have reviewed the functional model of the decision support system in the strategic communication system of the Armed Forces of Ukraine and analyzed the principles of its functioning and impact on the decision-making process. The purpose of this scientific article is to study the functional model of the decision support system in the strategic communications system of the Armed Forces of Ukraine. To achieve this goal, the following tasks have been identified: consider the basic principles of the functional model of a decision support system; analyze the existing theoretical and applied aspects of decision support systems; to study the peculiarities of using decision support systems in the field of strategic communications of the Armed Forces of Ukraine. When writing the article, methods of analysis, modeling and system-structural approach were used in accordance with the tasks defined by the goal. The main focus was not only on describing the structure of this system, but also on identifying specific requirements due to the peculiarities of strategic communications in the modern information environment. The identified requirements include the need to integrate existing solutions and mathematical models, as well as the ability to accumulate and store standard solutions and processes for further use. The described model of the system takes into account the aspects of information analysis and processing in the context of strategic communications, for more effective management and decision-making in the field of defense. The practical significance of this article lies in understanding approaches to optimizing management and making important decisions in the defense sector. The author emphasizes the need to integrate into the current model of the unit for preserving standard solutions for further use and experience building. This paper analyzes the functional model of a decision support system for solving tasks related to strategic communications in the Armed Forces of Ukraine and describes its structure. To build such a system, specific requirements are identified that take into account the peculiarities of strategic communications in the information environment. These requirements include the ability to integrate existing solutions and mathematical models, the ability to accumulate and store standard solutions and processes. The study has the potential for practical application in the management of strategic communications in the Armed Forces of Ukraine and similar areas. The direction of further research could be the development of additional blocks of information accumulation for decision-making in the system of strategic communications in the form of generalization of experience. The use of the "experience" block will make it possible to compare the expert assessment with the decisions already made that have received a positive or negative assessment. Thus, the decision support system is likely to reduce the time for generating a decision, and the introduction of additional relational criteria to check the likelihood of success in the case of making a decision based on the knowledge already acquired will increase efficiency.