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An analysis of knowledge representation methods in intelligent decision-making support systems

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dc.contributor.authorGaman, O.
dc.contributor.authorShyshatskyi, A.
dc.contributor.authorBabenko, V.
dc.contributor.authorPluhina, T.
dc.contributor.authorDegtyareva, L. M.
dc.contributor.authorShaposhnikova, O.
dc.contributor.authorPronin, S.
dc.contributor.authorProtas, N. M.
dc.contributor.authorStasiuk, T.
dc.contributor.authorKutsenko, I.
dc.contributor.authorДегтярьова, Лариса Миколаївна
dc.contributor.authorПротас, Надія Михайлівна
dc.date.issued2023-10-26
dc.description.abstractThe scientific task, which is solved in the research, is the analysis of knowledge representation methods in intelligent decision-making support systems. The problem is explained by the fact that the form of knowledge representation significantly affects the characteristics and properties of the system. In order to operate all kinds of knowledge from the real world with the help of a computer, it is necessary to carry out their simulation. In such cases, it is necessary to distinguish knowledge intended for processing by computational devices from knowledge used by humans. In addition, with a large amount of knowledge, it is desirable to simplify the sequential management of individual elements of knowledge. A homogeneous representation leads to a simplification of the logic management mechanism and a simplification of knowledge management. The research is aimed at the analysis of knowledge representation methods in intelligent decision-making support systems. Currently, many models of knowledge representation have been developed. The main models include: logical models; frame model; network models (or semantic networks); production models. Therefore, the object of research is the intelligent decisionmaking support system. The subject of research is an intelligent decision-making support system.
dc.identifier.citationAn analysis of knowledge representation methods in intelligent decision-making support systems / O. Gaman et al. Technology Audit and Production Reserves, №5 (2 (73)). Pp. 22–26. DOI: https://doi.org/10.15587/2706-5448.2023.289747
dc.identifier.otherUDC 355/359
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/22688
dc.language.isoen
dc.publisherTechnology Audit and Production Reserves
dc.relation.ispartofseries№5 (2 (73))
dc.subjectdecision making support systems
dc.subjectefficiency
dc.subjectcognitive models
dc.subjectglobal and local optimization
dc.titleAn analysis of knowledge representation methods in intelligent decision-making support systems
dc.typeArticle
dspace.entity.typePublication
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