Developing a set of models to support intelligent decision support systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.362504

Keywords:

destabilizing factors, complex systems, efficiency of decision-making, modeling of complex systems

Abstract

Intelligent 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 intelligent decision support systems. The hypothesis of the study is the possibility of increasing the efficiency of the functioning of intelligent 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 intelligent decision support systems due to multi-level assessment;

– modeling of possible states of functioning of intelligent decision 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 neural networks, which achieves an increase in the efficiency and reliability 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 parameters of the models by adjusting the parameters of the membership function of evolving artificial neural networks, which achieves an increase in the accuracy of modeling the state of functioning 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 efficiency and reliability of calculations, while ensuring an average level of use of hardware resources

Author Biographies

Hennadii Shapovalov, Military Institute of Taras Shevchenko National University of Kyiv

Doctor of Philosophy (PhD), Senior Researcher

Research Department of Information Confrontation

Research Center

Vladyslav Shostak, State Research Institute of Aviation

Candidate of Technical Sciences, Chief  of the Research Institute

State Research Institute of Aviation

Oleg Sova, National Defence University of Ukraine

Doctor of Technical Sciences, Professor, Head

Simulation Modeling Center

Viktor Pokaliuk, National University of Civil Defence of Ukraine

Doctor of Pedagogical Sciences, Associate Professor

Department of Fire and Rescue and Physical Training

Oleksandr Yefymenko, Kharkiv National Automobile and Highway University

Candidate of Technical Sciences, Professor

Department of Construction and Road Machinery

Elena Odarushchenko, Poltava State Agrarian University

Candidate of Technical Sciences, Associate Professor

Department of Information Systems and Technologies

Olesia Zhuk, National Defence University of Ukraine

Candidate of Technical Sciences, Associate Professor, Leading Researcher

Strategic Communications Institute

Bohdan Molodetskyi, Research Institute of Military Intelligence

Candidate of Technical Sciences, Chief Specialis

Yevhen Sudnikov, National Defence University of Ukraine

Senior Researcher

Scientific Center of Distance Learning

Roman Lazuta, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Junior Researcher

Research Center

Institute of Special Communications and Information Protection

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Developing a set of models to support intelligent decision support systems

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Published

2026-06-26

How to Cite

Shapovalov, H., Shostak, V., Sova, O., Pokaliuk, V., Yefymenko, O., Odarushchenko, E., Zhuk, O., Molodetskyi, B., Sudnikov, Y., & Lazuta, R. (2026). Developing a set of models to support intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 3(4 (141), 44–53. https://doi.org/10.15587/1729-4061.2026.362504

Issue

Vol. 3 No. 4 (141) (2026): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

License

Copyright (c) 2026 Hennadii Shapovalov, Vladyslav Shostak, Oleg Sova, Viktor Pokaliuk, Oleksandr Yefymenko, Elena Odarushchenko, Olesia Zhuk, Bohdan Molodetskyi, Yevhen Sudnikov, Roman Lazuta

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