Odarushchenko, O. B.Одарущенко, Олена Борисівна2026-08-042026-08-042026Developing a set of models to support intelligent decision support systems / H. Shapovalov et al. Eastern-European Journal of Enterprise Technologies. 2026. № 3 (4 (141)), Pp. 44–53. DOI: 10.15587/1729-4061.2026.362504UDC 004.81https://doi.org/10.15587/1729-4061.2026.362504https://dspace.pdau.edu.ua/handle/123456789/22186Intelligent decision support systems are the object of the study. The problem addressed in the study is the improvement of the validity of the functioning of intel¬ligent decision support systems. The hypothesis of the study is the possibility of increasing the effi¬ciency of the functioning of intel¬ligent decision support systems due to the development of a set of mathematical models of their functioning. The originality of the study consists of: – comprehensive assessment of the state of functioning of intel¬ligent decision support systems due to multi-level assessment; – modeling of possible states of functioning of intelligent deci¬sion support systems; – reconfiguring the number of input parameters to model the functioning process of intelligent decision support systems due to the use of evolving artificial neu¬ral networks, which achieves an increase in the efficiency and reli¬ability of the received decisions and evaluations; – setting the number of input channels of destructive influence for their accurate assessment due to the use of queuing theory; – setting the input parame¬ters of the models by adjusting the parameters of the member¬ship function of evolving artificial neural networks, which achieves an increase in the accuracy of modeling the state of function¬ing of intelligent decision support systems. Modeling of the proposed set of mathematical models of the functioning of intelligent decision support systems was carried out. In the course of modeling, it was established that an average of up to 20% gain is ensured in the effi¬ciency and reliability of calcula¬tions, while ensuring an average level of use of hardware resourcesendestabilizing factorscomplex systemsefficiency of decision-makingmodeling of complex systemsArticle