Файл	Ном	Сабт карда шуд
Kadyrov Abdurahmon Lakimovich	CHOICE OF SCORING METHOD OF LENDING	29

Authors: Kadyrov Abdurahmon Lakimovich - Doctor of Economics, Doctor of Economics, Professor, Director of the Scientific Research Institute for the Development of Natural and Exact Sciences of the State Educational Institution "KhSU named after аcademician B. Gafurov", Saidov Mirsaid - Professor of the Department of Economics and Marketing at the State Educational Institution of Khujand State University named after academician Bobojon Gafurov

JOURNAL NUMBER: 4(63). YEAR OF ISSUE: 2022. LANGUAGE OF THE ARTICLE: Russian

ANNOTATION 

Credit is the backbone of the modern economy and an integral part of economic development. Income from credit operations is the main source of profit for banks. However, non-repayment of loans can lead to bankruptcy. The article proposes a scoring method in lending for a reasonable and timely recognition of a problem borrower.

KEY WORDS

scoring lending, application scoring, geoanalytics data, simulation, artificial neural networks, genetic algorithms.

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