Creating a polymodel framework for the construction of intelligent decision support systems
DOI:
https://doi.org/10.15587/1729-4061.2026.356307Keywords:
system modeling, data representation, decision-making, multidimensionality of data descriptionAbstract
Intelligent decision support systems (IDSS) are the object of the study. The research problem is to improve the accuracy of the mathematical description of the process of processing heterogeneous data in IDSS. The subject of the study is a mathematical description of the processes of processing heterogeneous data in IDSS. The proposed polymodel complex for the construction of IDSS solutions, which allows:
– systemically represent the relationship between IDSS construction models in the course of their calculation and computing tasks;
– simulate the process of functioning of the IDSS, due to the use of an algebraic (formal) approach to object-oriented modeling and design of the IDSS;
– determine the rational tactical and technical indicators of the IDSS for solving specific calculation and computing tasks, due to the multi-level description of the order of construction of the IDSS;
– make the transition from one type of data representation in IDSS to another due to the presence of appropriate mathematical transformations;
– multidimensional to describe the process of processing heterogeneous data in IDSS, due to the use of a multidimensional matrix model of IDSS data;
– approach the solution of computational-calculation tasks in IDSS by using an interconnected set of mathematical models of IDSS construction;
– formalize the process of constructing IDSS, which allows combining IDSSs using different algorithmic and software. The disadvantages of the proposed polymodel complex include the need to adapt the mathematical apparatus to the specific operating conditions of the IDSS.
The proposed polymodel complex should be used for the construction of IDSS to solve general and specialized calculation tasks, as well as to solve the task of integrating various types of IDSS
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Copyright (c) 2026 Nina Kuchuk, Leonid Artushin, Yurii Zhuravskyi, Iraida Stanovska, Oleksii Kononov, Nadiia Protas, Serhii Shostak, Serhii Neronov, Anton Nikitenko, Andrii Veretnov

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