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
Indexed in
Estimation of Credit Borrowers Solvency Using Fuzzy Logic
Volume 49,
Edição 2, 2017,
pp. 70-84
DOI: 10.1615/JAutomatInfScien.v49.i2.70
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.
Palavras-chave: natural persons creditworthiness, estimates, fuzzy logic, conditions of uncertainty, aggregating, key indicators assessments, rankings of declared borrowers
CITADO POR
-
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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Index, Volume 52, 2020