Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/55993
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dc.contributor.authorSokolova, Olena Oleksandrivna-
dc.contributor.authorKravchenko, Volodumur Georgiuovuch-
dc.contributor.authorKravchenko, Tetyana Volodumurivna-
dc.contributor.authorVysotska, Iruna Ivanivna-
dc.contributor.authorKoliada, Yuriy Vasulovuch-
dc.date.accessioned2022-08-08T14:02:58Z-
dc.date.available2022-08-08T14:02:58Z-
dc.date.issued2021-04-16-
dc.identifier.citationSoloviova O., Кravchenko T., Кravchenko V., Vysotska I., Коliada Yu. A dynamik model for eveluation of the economic cluster development strategy regarding transport component // Financial and credit activity: problems of theory and practice. - Kharkiv, 2021. - P. 256-267.uk_UA
dc.identifier.issn2310-8770-
dc.identifier.urihttps://er.nau.edu.ua/handle/NAU/55993-
dc.description.abstractThe article presents an approach to evaluating the strategy of economic development of the cluster, which includes a dynamic economic-mathematical model and tools of adaptive modeling, in particular the formation of generalized model coefficients based on neurofuzzy model. The mechanism of obtaining estimates of generalized coefficients of the dynamic model, which influences the choice of the scenario of development of the studied clusters and the forecasted limits of possible changes of economic indicators is shown. Computer experiments of choosing the strategy of economic development of clusters (on the example of Kyiv region and Kyiv, Dnipropetrovsk and Odessa regions) and analysis of alternative scenarios of their development.uk_UA
dc.language.isoenuk_UA
dc.publisherUniversity of bankinguk_UA
dc.subjectdynamic economic systemuk_UA
dc.subjectclusteruk_UA
dc.subjectfuzzy set theoryuk_UA
dc.subjectcomputer simulationuk_UA
dc.subjectalternative development scenarios.uk_UA
dc.titleA dynamik model for eveluation of the economic cluster development strategy regarding transport componentuk_UA
dc.typeOtheruk_UA
dc.subject.udcUDC 330.322 (353.5)uk_UA
Appears in Collections:Наукові статті викладачів кафедри економіки та бізнес-технологій

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