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Credit Rating Using Type-2 Fuzzy Neural Networks
Mathematical Problems in Engineering
Nowadays various new technologies such as artificial neural networks, genetic algorithms, and decision trees are used for modelling of credit rating. This paper presents design of credit rating model using a type-2 fuzzy neural networks (FNN). In the paper, the structure of the type-2 FNN is designed and its learning algorithm is derived. The proposed network is constructed on the base of a set of fuzzy rules that includes type-2 fuzzy sets in the antecedent part and a linear function in thedoi:10.1155/2014/460916 fatcat:5qogjoutubeljcrf54dsd46zki