Decision-making System Based on The Ontology of The Choice Problem

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Stryzhak, Oleksandr
Horborukov, V'yacheslav
Prychodniuk, Vitalii
Franchuk, Oleh
Chepkov, Roman
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The complexity of the decision-making process for experts in various topics is in the problem of initial processing of unstructured information. This problem of Big data requires the latest solutions that provide a structural reflection and integrative use of information descriptions under consideration by experts. It takes the process of information and analytical evaluation and decision-making beyond one subject area and raises questions about the ontological consideration of the problem itself. The ontological principles of such consideration are based on multiple hyperproperties of information for the realization of the categories of integration, systematicity and continuity, as well as implementation of structures and their functionality reflection and transformation. For this, there is the ontology of the problem of rational choice based on means of a ranking of alternatives on a set of indicators. It provides the creation of a system designed to solve the ranking problem based on the ontological model of the subject area. Hyperproperties of ontological representation of large amounts of information ensure the implementation of meta-tasks of its analysis, its structuring, synthesis, and support the process of rational choice. Such an approach creates the conditions for optimal processing of a Big Data.
unstructured information, Ontology, conceptual model, decision-making support systems (DMSS), taxonomic relations, compositional connections, topological connections, "Polyhedron", methodology of ontological systems, ranking of alternatives, decision-making process, conference materials
Decision-making System Based on The Ontology of The Choice Problem / Oleksandr Stryzhak, V'yacheslav Horborukov, Vitalii Prychodniuk, Oleg Franchuk and Roman Chepkov // Journal of Physics : Conference Series : International Symposium on Automation, Information and Computing (ISAIC 2020) 2-4 December 2020, Beijing, China. - 2021. - Vol. 1828. - 7 p. -