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Information × Registration Number 0225U004813, (0121U111663) , R & D reports Title Methods, models, information technologies of distributed organizational decision support systems popup.stage_title Методи, моделі, інформаційні технології розподілених систем підтримки прийняття організаційних рішень Head Eugene V. Malakhov, Доктор технічних наук Registration Date 19-12-2025 Organization Odesa I.I. Mechnikov National University popup.description1 The aim of the study is to increase the organizational decision-making efficiency by creating mathematical and computer models, management processes modeling methods based on business games, methods and information technology of data presentation and mining in information support of organizational decision-making, methods, models and IT organization of collection, processing and submitting of operational information for decision-making in emergencies, as well as methods of building hybrid cloud architectures of information systems that ensure the information access mobility, its maximum availability and efficiency. popup.description2 The aim of the work is to increase the efficiency and quality of information support for decision-making in the field of organizational management by developing, improving and integrating models and methods of intelligent data analysis, machine learning and multi-agent systems.The research was based on the use of methods of control theory and the theory of information storage to ensure sustainable collection and accumulation of operational information; methods of mathematical modeling in building models of swarm complexes; methods of statistical analysis, computer vision, intelligent data analysis and methods of artificial intelligence in creating technologies for object detection, image segmentation, behavioral pattern analysis, processing of natural language documents and developing recommendations in the field of personnel management. To synchronize the actions of agents in a multi-agent environment, methods of multi-agent pathfinding and resource allocation were used. As a result of the work, the following were proposed: new models for sustainable collection and accumulation of operational information in emergency situations, namely using multilayer swarm structures; innovative approach to processing resumes and vacancies as "visually rich documents" in the field of personnel management; new algorithms for intelligent analysis of sports equipment that form "cyberphysical patterns of movement"; a new approach to solving the problem of cooperative pathfinding in the context of multi-agent spatial traffic systems.Improved: methods that allow a swarm of drones to dynamically change its structure and redistribute functions between heterogeneous agents in real time; methods for pre-processing images and face recognition using the LBP algorithm. Product Description popup.authors Eugene (Yevhenii) V. Malakhov Valerii H. Penko Oleksandr S. Antonenko Liudmyla A. Voloshchuk Tatiana I. Petrushina Serhii V. V. Shestopalov Iryna M. Shpinareva Iryna M. Lisitsyna Oleksandr S. Maksymov Olha I. Roznovets Nataliia F. Trubina Maiia Y. Bocharova Andrii S. Prykhodko Mykyta S. Kozlov Dmytro M. Riabov Iryna V. Hurklis Oleksandr Y. Sbitnev Viktoriia O. Shutenko Yuliia O. Shvets popup.nrat_date 2025-12-19 Close