CREDIT ASSESSMENT OF BORROWERS ON THE BASIS OF FUZZY SETS

Lomakin Nikolay Ivanovich1, Starikova Julia Viktorovna2
1Volzhsky Polytechnic Institute (branch) of Volgograd State Technical University, PhD, assistant professor of "Economics and Management"
2Volzhsky Polytechnic Institute (branch) of Volgograd State Technical University, student

Abstract
Work is devoted to the development of Fuzzy-model assessing the creditworthiness of the borrower - a physical person. The model contains the following factors: the number of dependents, the experience at the same place, the frequency of layoffs, family income, age of the borrower, the number of violations of credit history. The proposed algorithm can effectively and quickly evaluate the creditworthiness of the borrower, giving the result as a ratio between 0 and 1.

Article reference:
Credit assessment of borrowers on the basis of fuzzy sets // Economics and innovations management. 2014. № 6 [Electronic journal]. URL: https://ekonomika.snauka.ru/en/2014/06/5152

View this article in Russian

Sorry, this article is only available in Русский.



All articles of author «NikolayL»


© If you have found a violation of copyrights please notify us immediately by e-mail or feedback form.

Contact author (comments/reviews)

Write comment

You must authorise to write a comment.

Если Вы еще не зарегистрированы на сайте, то Вам необходимо зарегистрироваться: