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
Indexed in
Estimation of Credit Borrowers Solvency Using Fuzzy Logic
Volumen 49,
Ausgabe 2, 2017,
pp. 70-84
DOI: 10.1615/JAutomatInfScien.v49.i2.70
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.
SCHLÜSSELWÖRTER: natural persons creditworthiness, estimates, fuzzy logic, conditions of uncertainty, aggregating, key indicators assessments, rankings of declared borrowers
REFERENZIERT VON
-
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
465 Artikelansichten
8 Artikel-Downloads
Metriken
Artikel mit ähnlichem Inhalt:
Neueste Ausgabe
Modeling of Configurations Formed when Using Microneedle Systems
Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field
The Dynamics of One Arms Race Mathematical Model with a Delay
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems
Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling
Index, Volume 52, 2020