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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Estimation of Credit Borrowers Solvency Using Fuzzy Logic

Volumen 49, Ausgabe 2, 2017, pp. 70-84
DOI: 10.1615/JAutomatInfScien.v49.i2.70
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ABSTRAKT

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.

REFERENZIERT VON
  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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