Abstract: The problem of assessing the creditworthiness of the borrower is considered. The application of fuzzy
neural networks for this problem solution, fuzzy neural networks TSK and Mamdani was suggested. The
experimental investigations of application of these networks for our task were carried out and comparison with
classical methods was performed. The modification of adaptation and learning algorithms of fuzzy neural
networks was suggested.
Keywords: fuzzy neural networks, credit rating, fuzzy logic
ACM Classification Keywords: H.4 Information systems applications; H.4.2. Types of Systems Decision
Support
Link:
FUZZY NEURAL NETWORKS FOR EVALUATING THE CREDITWORTHINESS OF
THE BORROWERS
Natalia Shovgun
http://www.foibg.com/ijita/vol21/ijita21-01-p06.pdf
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