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自动化与信息科学期刊
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
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自动化与信息科学期刊

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
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)

ABSTRACT

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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