Comparison analysis between strict ontologies and fuzzy ontologies

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dc.contributor.authorKozlenko, Oleh
dc.date.accessioned2025-04-09T13:10:33Z
dc.date.available2025-04-09T13:10:33Z
dc.date.issued2024
dc.description.abstractOntological modeling has been important in the field of cybersecurity, but with the growing use of artificial intelligence in various processes related to cybersecurity, it has become an increasingly relevant area for research every new year. Ontologies can serve as a primary source of knowledge for artificial intelligence models and as a "sequence of actions" in different processes. Typically, strictontologies were used due to their formalized structure, but they did not fully capture processes that involve fuzzy contexts of actions or results. The aim of this article is to present and analyze different ontologies, both strict and fuzzy, that are used or could be used in the field of cybersecurity and related processes, demonstrating their similarities, differences, and areas of application.
dc.format.pagerangeP. 34-42
dc.identifier.citationKozlenko, O. Comparison analysis between strict ontologies and fuzzy ontologies / Oleh Kozlenko // Theoretical and Applied Cybersecurity: scientific journal. – 2024. – Vol. 6, No. 2. – P. 34-42. – Bibliogr.: 54 ref.
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132024.2.317249
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/73316
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 2
dc.subjectCybersecurity
dc.subjectrisk
dc.subjectfuzzy logic
dc.subjectontology
dc.subjectfuzzy ontology
dc.subject.udc004
dc.titleComparison analysis between strict ontologies and fuzzy ontologies
dc.typeArticle

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 2