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dc.contributor.authorЦзі, Чунмей-
dc.contributor.authorАндрашко, Юрій Васильович-
dc.contributor.authorБілощицька, Світлана Василівна-
dc.contributor.authorЦюцюра, Світлана Володимирівна-
dc.date.accessioned2022-01-27T21:03:26Z-
dc.date.available2022-01-27T21:03:26Z-
dc.date.issued2021-
dc.identifier.citationJi C., Andrashko Y., Biloshchytska S., Tsiutsiura S. Conceptual research model of developing the decision support system for agriculture under uncertainty. Smart Information Systems and Technologies: Proceedings of IEEE International Conference (28-30 April 2021, Nur-Sultan, Kazakhstan). Nur-Sultan, 2021. P. 233–237. DOI: https://doi.org/10.1109/SIST50301.2021.9465888uk
dc.identifier.urihttps://dspace.uzhnu.edu.ua/jspui/handle/lib/38911-
dc.description.abstractIn the context of growing human needs for food, an important issue is to increase the efficiency of agricultural enterprises. A modern tool for efficiency is the informatization of all processes, including introducing information systems to support decision-making. The paper presents a Conceptual Research Model for developing the Decision Support System for Agricultural. This model includes four components: goal-setting, principles, functionality, and diagnostic. The considered elements form an integral system providing a process in the development of the information system. The model considers uncertainty in decision-making caused by environmental and economic factors. The objects and subjects of the environment in which the information system operates are determined. Two mathematical models of the description of the decision-making problem in the conditions of uncertainty are offered. Criteria for evaluating the effectiveness of decisions are defineduk
dc.language.isoenuk
dc.publisherIEEEuk
dc.subjectdecision makinguk
dc.subjectinformation systemuk
dc.titleConceptual research model of developing the decision support system for agriculture under uncertaintyuk
dc.typeTextuk
dc.pubTypeТези до статтіuk
Appears in Collections:Наукові публікації кафедри cистемного аналізу та теорії оптимізації

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