A Hybrid Approach to Credit Scoring Applying Rough Set and Genetic Programming

Abstract

This paper applies a hybrid classification approach combining rough set and genetic programming (GP) to construct the credit scoring model. Comparing with the previous credit scoring model only based on GP, the hybrid method not only makes an improvement in the average classification accuracy, but also saves the required computational effort. 

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