Application of neuro-fuzzy systems in bank scoring problems

As the generation of a neuro-fuzzy model from scratch by hand is complex and time consuming process, evolutionary computations are used for this. By virtue of genetic algorithms, the development of neuro-fuzzy systems is simplified and becomes automatic. The proposed scheme is applied to well-known Australian and German Credit Approval problems. Comparison of different algorithms is given.