Corporate credit evaluation study of fuzzy AHP-artificial neural network based approach and an application

Credit rating process is viewed as an important topic from both credit demandants and the creditors that supply the excess founds to market.Being identified the credibility accurately and objectively by credit institutions is very important for both to provide the back payments of credit and to price the credit truly.In today?s competitive environment, making decisicons rapidly and effectively during the evalution of loan demands is one of the most important objectives of banks.In this study, a model that will help to analyze loan demand of companies identified due to minimize the risk of the loan is to not come back. In the model with fuzzy AHP method and artificial neural network is used. First, Fuzzy AHP method that viewed both qualitative and quantitative data and capable of the decision maker judgements included in the model at the same time are discussed. The criteria was selected with Fuzzy AHP and artificial neural network is used as input data for the selected criteria. An alternative model that will help to give credit decisions more quickly, efficiently, and easily was created.