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Neuro-Fuzzy Approaches to Decision Making: Application to Check Authorization from Incomplete Information

We describe the application of a multilayer perceptron, polynomial neural networks, and a fuzzy decision model to the problem of check approval from incomplete data. A simple benchmark case was established as a performance metric to compare the various non-linear strategies that were implemented. An overall improvement of at least 10% was obtained in each of these methods.