Нечеткий подход при кластеризации заемщиков микрофинансовых организаций
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

The fuzzy approach for clustering borrowers of microfinance organizations

idKuznetsova V.Y.

UDC 51-74: 004.9
DOI: 10.26102/2310-6018/2020.29.2.031

  • Abstract
  • List of references
  • About authors

The development of information technology is accompanied by a comprehensive transformation of the service sector, including microcredit. This sector of the Russian financial market shows steady growth annually. However, amid the high debt load on the Russian population, the availability of microcredit for most citizens, including online, has led to a high share of default disbursements of microloans in MFIs. Pressure from the regulator and a decrease in the income of Russians led the majority of MFIs to bankruptcy, while the remaining players in the microfinance market led to lower interest rates, and as a result, their margins decreased significantly. In this regard, MFIs have an urgent need to develop a scoring model that would be able to identify high-margin borrowers at the stage of applying for a microloan and “cut off” potentially defaulted borrowers. As part of this work, a methodology is proposed for clustering borrowers based on the fuzzy criterion “level of financial responsibility” and assessing the effectiveness of microfinancing based on the profitability of the loan portfolio depending on the proposed classification of borrowers.

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Kuznetsova Valentina Yurievna

Email: arhelia@bk.ru


Astrakhan State University

Astrakhan, Russian Federation

Keywords: microfinance, fuzzy modeling, clustering techniques, risk management, classification of borrowers

For citation: Kuznetsova V.Y. The fuzzy approach for clustering borrowers of microfinance organizations. Modeling, Optimization and Information Technology. 2020;8(2). Available from: https://moit.vivt.ru/wp-content/uploads/2020/05/Kuznetsova_2_20_1.pdf DOI: 10.26102/2310-6018/2020.29.2.031 (In Russ).


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