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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Estimation of Credit Borrowers Solvency Using Fuzzy Logic

Volume 49, Edição 2, 2017, pp. 70-84
DOI: 10.1615/JAutomatInfScien.v49.i2.70
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RESUMO

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.

CITADO POR
  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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