Gusak Yegor Vladimirovich (Postgraduate student of Volgograd State Agrarian University)
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The article is devoted to the prospects of using intelligent technologies for decision-making in the process of functioning of agricultural enterprises. A special emphasis is made on adaptive ontologies, their capabilities and prospects of application. On a practical example the features of building the architecture of adaptive ontology and the choice of data sources are described. The key points of using fuzzy logic in decision-making systems are also outlined.
Keywords:ontology, analysis, decision, data, structure.
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Citation link: Gusak Y. V. INTELLIGENT DECISION SUPPORT SYSTEMS IN AGRICULTURAL ENTERPRISES BASED ON ADAPTIVE ONTOLOGIES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№02. -С. 72-76 DOI 10.37882/2223-2966.2025.02.10 |
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