Intelligent System for Simulation Modeling and Research of Information Objects

Kostiuk, Yuliia та Skladannyi, Pavlo та Sokolov, Volodymyr та Rzaieva, Svitlana (2025) Intelligent System for Simulation Modeling and Research of Information Objects 1st Workshop Software Engineering and Semantic Technologies (SEST 2025) (4053). с. 237-251. ISSN 1613-0073

Текст Y_Kostiuk_P_Skladannyi_V_Sokolov_S_Rzaieva_SEST_UkrPROG_4053_2025.pdf Download (1MB)

Анотація

The paper discusses an intelligent system for simulation-based modeling of information entities focused on improving the efficiency and accessibility of modeling complex information systems. The system includes an adaptive interface, automated modules designed to generate analytical descriptions and calculation modules, and a mechanism for in-depth analysis of results, which reduces the time for user training and increases the accuracy of the results. One of the key features is the use of logical and linguistic models to select optimal analytical descriptions and create procedural models, which significantly improves the simulation process. Using modern methods of mathematical logic, the system analyzes the structure of analytical formalizations of information objects. It selects optimal solutions based on the similarity of data elements stored in the database. Specialized mathematical models are used to implement operations of logical sequences and build fuzzy relations, significantly improving decisionmaking accuracy and speed while providing high flexibility in settings. The approach allows automation of the processes of developing and adapting models, reducing the time spent on model revision. As a result, the intelligent system ensures high efficiency of the simulation-based modeling of information entities. This is critical in today’s digital environment, where speed and accuracy are the main factors of successful work.

Тип елементу :	Стаття
Ключові слова:	Intelligent systems; simulation modeling; information objects; analytical descriptions; fuzzy relations; artificial intelligence
Типологія:	Статті у базах даних > Scopus (без квартилю)
Підрозділи:	Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує:	Павло Миколайович Складанний
Дата внесення:	27 Жов 2025 10:55
Останні зміни:	27 Жов 2025 10:55
URI:	https://elibrary.kubg.edu.ua/id/eprint/53340

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