Development of a method of multi-criteria evaluation under uncertainty
DOI:
https://doi.org/10.15587/2706-5448.2022.253143Keywords:
decision-making support systems, operational management, data transmission systems, multicriteria evaluationAbstract
The object of research is decision-making support systems. Local wars and armed conflicts of recent decades are characterized by high dynamics of operations (combat operations) and a significant amount of diverse information circulating in information systems. These features determine the search for new approaches to increase the efficiency of decision-making support systems, given their reliability. This article solves the problem of developing a method of multicriteria evaluation in conditions of uncertainty.
In the course of the research, the authors used the main provisions of the theory of artificial intelligence, automation theory, theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The proposed methodology was developed taking into account the practical experience of the authors of this work during the military conflicts of the last decade. The method of multicriteria evaluation is universal and can be used to assess the state of the objects of analysis of any architecture. The results of the research will be useful in:
– development of new control algorithms in decision-making support systems;
– substantiation of recommendations for improving the efficiency of operational management;
– analysis of analysis (monitoring) objects in the course of hostilities (operations);
– creation of perspective technologies to increase the efficiency of operational management;
– assessment of the adequacy, reliability, sensitivity of the scientific and methodological apparatus of operational management in decision-making support systems;
– development of new and improvement of existing management models.
Areas of further research will be aimed at developing a methodology for intelligent management in special-purpose decision-making support systems.
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Copyright (c) 2022 Oleg Sova, Andrii Shyshatskyi, Oleksii Nalapko, Halyna Marchenko, Oleksandr Trotsko, Oleksandr Symonenko, Dmytro Merkotan, Anna Lyashenko, Oksana Havryliuk, Vira Velychko
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