2020
DOI: 10.33271/nvngu/2020-2/074
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Modeling the development of machine-building industry on the basis of the fuzzy sets theory

Abstract: Purpose. To analyze the state of development of Ukraine's machinebuilding industry as a whole and its individual subsectors at the background of modern macro, microenvironment and in the context of new geopolitical situation. The task was set to model the development of the industry on the basis of the theory of fuzzy sets and to formulate suggestions for economic coopera tion with foreign investors, in particular EU countries in the field of machinebuilding. Methodology. The study is based on general scientif… Show more

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Cited by 7 publications
(3 citation statements)
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“…In particular, fuzzy numbers with a triangular membership function μ(t) are called triangular fuzzy numbers and are denoted by , where respectively, the minimum, the maximum value and some estimate of the central value (mathematical expectation, mode, median, etc.) of a separate parameter and have a membership function (Rohatynskyi et al, 2020. ) (1)…”
Section: Table 6 Tropho-saprobiological and Specific Indicators Of To...mentioning
confidence: 99%
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“…In particular, fuzzy numbers with a triangular membership function μ(t) are called triangular fuzzy numbers and are denoted by , where respectively, the minimum, the maximum value and some estimate of the central value (mathematical expectation, mode, median, etc.) of a separate parameter and have a membership function (Rohatynskyi et al, 2020. ) (1)…”
Section: Table 6 Tropho-saprobiological and Specific Indicators Of To...mentioning
confidence: 99%
“…Currently, the following types of fuzzy neural networks are used: Mamdani controllers, Tsukamoto fuzzy controllers, NEFPROX fuzzy neural network, TSK fuzzy neural network, and Wang-Mendel fuzzy neural network. Fuzzy sets make it possible to formalize quantities that have a qualitative basis, to identify relationships between regulated parameters and the quantities affecting them, and to formulate a fuzzy forecast in conditions of forecasting parameter uncertainty (Rohatynskyi et al, 2020).…”
Section: Table 6 Tropho-saprobiological and Specific Indicators Of To...mentioning
confidence: 99%
“…Тому, даний аналіз є об'єктом досліджень в роботах таких науковців, як Гуцаленко Л. В., Репп Г. І., Коцюрубенко Г. М., Єрмак С. О., Григоренко А. А., Пономаренко І. В., Унтура А. В. та Рогатинський Р. М. [6,7,8].…”
Section: аналіз останніх досліджень та публікаційunclassified