Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Viacheslav Makedon (), Valentin Myachin, Olena Plakhotnik, Nadiia Fisunenko and Olha Mykhailenko
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Viacheslav Makedon: Oles Honchar Dnipro National University
Valentin Myachin: Dnipropetrovsk State University of Internal Affairs
Olena Plakhotnik: Dniprovsky State Technical University
Nadiia Fisunenko: Dnipropetrovsk State University of Internal Affairs
Olha Mykhailenko: Oles Honchar Dnipro National University

Eastern-European Journal of Enterprise Technologies, 2024, vol. 2, issue 13 (128), 47-57

Abstract: The object of research is technology transfer, which covers the mechanism of transfer of technological knowledge and innovations from developers to end users or manufacturers. The problem to be solved is to provide a relevant assessment of the effectiveness of technology transfer by applying modern economic and mathematical models (based on the method of fuzzy logic) to assess the effectiveness of technology transfer under conditions of uncertainty. The main results obtained: a fuzzy-logical model for evaluating the level of the technology transfer efficiency indicator was built; it is performed according to the following algorithm: 1) the involvement of three components of technology transfer – technological, financial, and marketing as input variables of the model, which are calculated on the basis of statistical and financial reporting data, expert surveys; 2) selection of parameters and type of membership function for three input variables and one output variable (integral indicator) and construction of a system of 27 logical rules; 3) determining the efficiency of technology transfer using Mamdani's fuzzy derivation and checking the adequacy of the model. A visualization of the "input-output" surface was performed, which determines the maximum value of the TTPE (TechnologyTransferProjectsEfficiency) indicator, which serves as a summary indicator for the success of technology transfer projects and is observed at high levels of model input variables. The indicator T (technical component of technology transfer efficiency), F (financial component of technology transfer efficiency), and M (marketing component of technology transfer efficiency) was introduced. The scientific results could be applied to determine the optimal ways of technology transfer to industry, to plan strategies for introducing new technological products to the market, taking into account the effectiveness of licensing, partnership, and cooperation processes

Keywords: technology transfer projects; MATLAB environment; fuzzy logic; Mamdani method (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:baq:jetart:v:2:y:2024:i:13:p:47-57

DOI: 10.15587/1729-4061.2024.300796

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