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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i2.70
pages 70-84

Estimation of Credit Borrowers Solvency Using Fuzzy Logic

Ramin Rza ogly Rzayev
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)
Aliaga Alekper ogly Aliyev
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)

Краткое описание

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.


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