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Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is proposed in order to improve credit risk management. In the proposed method, for modeling in uncertainty conditions, parameters of the neural network, including weights and errors, are considered * بتاکم لوئسم : :یکینورتکلا تسپ ،تا s.torbat@in.iut.ac.ir D ow nl oa de d fr om iu tjo ur na ls .iu t.a c. ir at 1 5: 02 IR S T o n T hu rs da y N ov em be r 19 th 2 02 0 [ D O I: 10 .2 92 52 /jc m e. 37 .2 .9 7 ]

A Hybrid Intelligent Classification Model Based on Multilayer Perceptron Neural Networks and Fuzzy Regression for Credit Scoring Problems