Home  Journals  Finance and Credit  27(459) - 2011 July

Creditability estimation of the organizations on the basis of composition expert and neural networks approaches

Available online: 14 July 2011

Subject Heading: Banking

JEL Classification: 

The research urgency is defined by necessity of creation of an effective creditability estimation system by banks in business crediting. Crediting of the organizations possesses specificity that demands application of special approaches and models for risk estimation. In article the advisability of application expert and neural-network approach to credit risk estimation in business crediting is proved. Models of creditability estimation, using the device of paired-comparison method and fuzzy neural networks are offered.

Keywords: creditability, paired-comparison method, fuzzy neural network, membership function

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ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

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