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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v75.i19.60
pages 1775-1785


V. A. Gorokhovatskiy
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine
А. А. Zamula
V. Karazin National University of Kharkiv, 4 Svoboda Sq., Kharkiv, 61022, Ukraine; Kharkiv National University of Radio Electronics, 14, Nauka Ave., Kharkiv, 61166, Ukraine


It is suggested an approach to multiparametric control over the complex systems with application of the intelligent technologies. On the basis of fuzzy logic there are developed the models of formalization of controlling factors that allowed to adequately implement the quality parameters at functioning of the system. It is determined the fuzzy mechanism of modeling, and the knowledge base is designed based on the expert assessments and statistical data. Fuzzy model learning is implemented upon the criterion of minimization of the deviation error by means of adjusting the parameters of membership functions on the basis of the learning sample. The application problem is solved on the example of the commercial bank that confirmed improvement of the control accuracy over its financial indicators after implementing the fuzzy models.

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