Methods of intellectual support for decision-making in control systems of programmed mobile radio communication tools
DOI:
https://doi.org/10.20535/2411-1031.2025.13.2.344714Keywords:
mobile radio communication, programmable means of communication, management system, decision support, intellectualizationAbstract
The article proposes a method of intelligent decision-making support in control systems of programmable mobile radio communication. In the course of the work, the most common architectures of the management system, types of management system structures, levels of management were considered, an overview of the latest research was conducted, and the relevance of the development of the specified methodology was determined. The process of supporting decision-making in management systems, the process of functioning of the decision-making support system, the list of ways and methods of information technologies that can be used in the functioning of the decision-making support system were also considered. Since modern decision support approaches increase the mathematical complexity of the system, taking into account the goal and requirements for developing the methodology, it is proposed to use a neural network. The essence of the developed methodology is: in the systematization of the process of managing programmable mobile radio communications, the use of initial data that has a connected nature between all the functions of the control system and the characteristic application of programmable mobile radio communications, when using proven mathematical tools to improve indicators of the effectiveness of support decision-making by the control system using neural networks. The proposed technique includes stages that correspond to the sequence of application of appropriate methods and methods in the control system of programmable mobile radio communication devices, namely: data collection and determination of the control goal; construction of a knowledge representation subsystem; classification and clustering of states; selection and application of a neuroalgorithm assessment of conditions; assessment and selection of optimal and alternative solutions; implementation of solutions and their support. The proposed method, thanks to the correct formulation of the research task and the use of a proven mathematical apparatus, allows self-learning of the neural network, taking into account the peculiarities of the functioning of programmed mobile radio communication devices, increasing the speed and accuracy of decision-making based on the intellectualization of decision-making support.
References
S. Salnyk, “Methodology of intelligent control of the interaction of control system elements in mobile radio networks”, Information Technology and Security, vol. 10, iss. 2, pp. 241-249, 2022. doi: https://doi.org/10.20535/2411-1031.2022.10.2.270584.
L.N. Berkman, O.V. Barabash, O.M. Tkachenko, A.P. Musienko, O.A. Laptev, and O.V. Svinchuk, “Intelligent control system for infocommunication networks”, Control, navigation and communication systems, vol. 3, iss. 69, pp. 54-59, 2022. doi: https://doi.org/10.26906/SUNZ.2022.3.054.
M.A. Demydenko, Decision Support Systems: tutorial. Dnipropetrovsk, Ukraine: National Mining University, 2016.
O.V. Nesterenko, O.I. Savenkov, and O.O. Falovsky, Intelligent decision support systems: tutorial. Kyiv, Ukraine: Kyiv Nat. Acad. of Management, 2016.
T.A. Zheldak, L.S. Koryashkina, and S.A. Us, Fuzzy sets in control and decision-making systems. Dnipro, Ukraine: NTU “Dnipro Polytechnic”, 2020.
A.O. Cherednichenko, and N.O. Shura, “Application of artificial neural networks as an effective mechanism for making effective management decisions at the enterprise”, Global and National Problems of Economics, vol.4, pp. 628-630, 2015 [Online]. Available: http://global-national.in.ua/archive/4-2015/132.pdf. Accessed on: May 19, 2025.
I.V. Borisov, T.G. Gursky, V.I. Nishchenko, P.V. Khomenko, and Y.V. Tsimura, Modern military means of radio and satellite communication: collection of educational and methodological materials. Kyiv, Ukraine: MITI, 2017. [Online]. Available: https://sprotyvg7.com.ua/wp-content/uploads/2023/07/сучасні.pdf. Accessed on: May 13, 2025.
S.V. Zaitsev, and V.V. Prystyupa, “Study of structural features of distributed programmable wireless systems”, Problems of informatization and management, vol. 2 (42), pp. 34-44, 2013. [Online]. Available: https://jrnl.nau.edu.ua/index.php/PIU/article/view/6469/7203. Accessed on: May 14, 2025.
J.G. Fernando, and M. Baldelovar, “Decision Support System: Overview, Different Types and Elements”, Technoarete Transactions on Intelligent Data Mining and Knowledge Discovery, vol. 2 (2), pp. 13-18, 2022. doi: https://doi.org/10.36647/TTIDMKD/02.02.A003.
H. Taherdoost, and M. Madanchian, “Decision Making: Models, Processes, Techniques”, Cloud Computing and Data Science, vol. 5, iss. 1, 14 p. 2023. doi: https://doi.org/10.37256/ccds.5120233284.
O.O. Marchenko, and T.V. Rossada, Current Problems of Data Mining: tutorial. Kyiv, Ukraine: Taras Shevchenko Nat. Un. of Kyiv, 2017. [Online]. Available: http://csc.knu.ua/media/filer_public/38/03/3803002b-e068-4a08-8a6c-a4edc183892a/datamining20170917.pdf. Accessed on: May 14, 2025.
S.V. Salnyk, and O.S. Salii, “Methodology of classification of critical data parameters in control systems of unmanned aerial vehicles using neural networks”, Collection of scientific works of Kharkiv Nat. Un. of Air Force, vol. 2 (80), pp. 83-92, 2024. doi: https://doi.org/10.30748/zhups.2024.80.11.
H.A. Darbi, and E.M. Saleh, “Decision Support System: Analysis and Design Methodology”, in Proc 2nd Int. Maghreb Meet. of the Conf. on Sci. and Tech. of Aut. Contr. and Comp. Eng. (MI-STA), Sabratha, Libya, 2022, pp. 260-266. doi: https://doi.org/10.1109/MI-STA54861.2022.9837769.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Collection "Information Technology and Security"

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors that are published in this collection, agree to the following terms:
- The authors reserve the right to authorship of their work and pass the collection right of first publication this work is licensed under the Creative Commons Attribution License, which allows others to freely distribute the published work with the obligatory reference to the authors of the original work and the first publication of the work in this collection.
- The authors have the right to conclude an agreement on exclusive distribution of the work in the form in which it was published this anthology (for example, to place the work in a digital repository institution or to publish in the structure of the monograph), provided that references to the first publication of the work in this collection.
- Policy of the journal allows and encourages the placement of authors on the Internet (for example, in storage facilities or on personal web sites) the manuscript of the work, prior to the submission of the manuscript to the editor, and during its editorial processing, as it contributes to productive scientific discussion and positive effect on the efficiency and dynamics of citations of published work (see The Effect of Open Access).