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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i2.70
pages 70-84

Estimation of Credit Borrowers Solvency Using Fuzzy Logic

Ramin Rza ogly Rzayev
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)
Aliaga Alekper Ogly Aliyev
Baku State University, Baku (Azerbaijan)


An alternative approach to assessing the creditworthiness of natural persons is proposed, based on the use of fuzzy decision-making methods in conditions of uncertainty. As an alternative, arbitrarily five borrowers are chosen, which differ in their data on key indicators of solvency. After obtained results of calculation by two methods there are implemented rankings of declared borrowers and identified the most solvent of them.

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