Mathematical modeling, intelligent data analysis and artificial intelligence to support decision-making in post-war reconstruction

• Дата: 2025
• Автори: Trofymchuk, Oleksandr, Bidyuk, Petro, Terentiev, Oleksandr, Prosyankina-Zharova, Tetyana
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Kyiv National University of Construction and Architecture 2025
• Теми: decision-making support system; management decisions; information technology; data processing; post-war recovery
• Онлайн доступ: https://es-journal.in.ua/article/view/343556
• Назва журналу: Environmental safety and natural resources

The article is devoted to the actual scientific and applied problem – development of information technologies of support of making management decisions in conditions of systemic uncertainty, in particular, characteristic for periods of martial law and post-war recovery. Its peculiarity is complexity of formalization and structuring, necessity of solution of tasks of decision-making in conditions of systemic uncertainty and risk caused by military aggression. Therefore, the actual problem is development of scientifically based flexible and universal methodology of application of mathematical models, methods of intellectual data analysis, artificial intelligence, information technologies for formation of management decisions, within the framework of the corresponding decision support system (DSS). In the work, the architecture of the corresponding DSS is proposed, the key link of which is subsystem of preliminary processing of large volumes of input data formed from statistical indicators, results of observations and surveys, information from Internet sources, etc., for construction of models of the studied processes, development of scenarios, strategic and operational planning and forecasting. The system implements all elements of the technological chain of collecting and processing structured and unstructured data, mathematical modeling, methods of intelligent data analysis, scenario analysis, cognitive modeling, artificial intelligence, etc. A feature of the developed methodology is the ability to adequately assess the current situation, its retrospective and predict its development and consequences under several scenarios, which is relevant for decision-making tasks in martial law and post-war recovery. The proposed information technologies are intended for use in state and public administration systems. Their structure is flexible and adaptive: the components can be used separately or as part of existing decision-making support systems, implementation will increase the quality and efficiency of management decisions by optimizing analytical processes and data processing speed.