Hnatchuk, YaroslavHnatchuk, AlinaPityn, MaryanHlukhov, IvanCherednichenko, Olga2023-03-032023-03-032021Intelligent Decision Support Agent Based on Fuzzy Logic in Athletes’ Adaptive E-Learning Systems [Electronic resource] / Ya. Hnatchuk [et al.] // Intelligent Information Technologies & Systems of Information Security (IntelITSIS'2021) : proc. of the 2nd Intern. Workshop, March 24–26, 2021. Vol. 2853. – Electronic text data. – Khmelnytskyi, 2021. – 8 p. – Access mode: https://ceur-ws.org/Vol-2853/paper4.pdf, free (date of the application 03.03.2023.).https://repository.kpi.kharkov.ua/handle/KhPI-Press/62973Currently in Ukraine there is a need to design and develop adaptive e-learning systems for theoretical and tactical training of athletes in the chosen sport. The developed user profile model, which combines both individual user parameters and user actions in the system, allows to take into account all qualitative and quantitative information about the user without losses. Developed rules and method of intellectual agent to support decision making to provide adaptive learning content based on fuzzy logic provide efficiency in the formation and development of logical, associative, tactical thinking, improving the tactical and theoretical training of athletes. Such rules and method formalize the decision making process for the provision of adaptive learning content and are the theoretical basis for the development and design of adaptive e-learning systems for theoretical and tactical training of athletes in the chosen sport.enintelligent agentadaptive e-learning systemsfuzzy logicdecision supportThesishttps://orcid.org/0000-0001-9819-5069https://orcid.org/0000-0003-0155-9255https://orcid.org/0000-0002-3537-4745https://orcid.org/0000-0003-4226-5253https://orcid.org/0000-0002-9391-5220