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自动化与信息科学期刊

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ISSN 打印: 1064-2315

ISSN 在线: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Estimation of Credit Borrowers Solvency Using Fuzzy Logic

卷 49, 册 2, 2017, pp. 70-84
DOI: 10.1615/JAutomatInfScien.v49.i2.70
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摘要

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.

对本文的引用
  1. Rzayev R R, Aliyev A A, Kravets O Ja, Credit rating of natural person by expert knowledge compilation in logic basis of neural networks, IOP Conference Series: Materials Science and Engineering, 537, 4, 2019. Crossref

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