Domestic Farmers Protection by Queuing

dc.contributor.authorGoncharenko, Andriy Viktorovichen
dc.date.accessioned2021-08-17T18:54:36Z
dc.date.available2021-08-17T18:54:36Z
dc.date.issued2021-08-17
dc.descriptionTaking into account the optimal distribution of the preferences functions allows predicting three times more amount of land sold for domestic farmers in the modeled scenario with the fixed price, first turn for those farmers, and maximal State income. Further, it should be investigated the optimal prices in the cases with other scenarios.en
dc.description.abstractThe goal of the presented theoretical research is to investigate the State land trade income maximum existence at the optimization based upon two scenarios with the fixed price, turn of purchasing, and two categories of the buyer’s preferences. The used entropy paradigm makes it possible to estimate the influence of the subjective preferences uncertainty and obtain the individuals’ preferences optimal distributions. Computer simulation illustrated the theoretical findings. The plotted diagrams visualize the results in the framework of the accepted explicable and plausible theoretical background.en
dc.identifier.citationGoncharenko A. V. Domestic Farmers Protection by Queuing [video] / A. V. Goncharenko // The 2021 11th International Conference on Advanced Computer Information Technologies. Deggendorf, GERMANY. – 17 August, 2021. – 04:40 minutes. NAU Electronic Repositoryen
dc.identifier.urihttps://er.nau.edu.ua/handle/NAU/52285
dc.language.isoenen
dc.publisherNational Aviation Universityen
dc.subjectmathematical modelen
dc.subjectoptionen
dc.subjecteconomic activityen
dc.subjectpreferenceen
dc.subjectentropyen
dc.subjectoptimumen
dc.subjectmaximumen
dc.subjectland tradeen
dc.subjectmarketen
dc.subjectincomeen
dc.titleDomestic Farmers Protection by Queuingen
dc.typeVideoen

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Goncharenko A. V. Two Scenarios of the Same Income Obtaining / A. V. Goncharenko // International Conference on Advanced Computer Information Technologies (ACIT-2021). – September 15 - 17, 2021. – Deggendorf, Germany
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