Credit Scoring Models Using Soft Computing Methods: A Survey

During the last fifteen years, soft computing methods have been successfully applied in building powerful andflexible credit scoring models and have been suggested to be a possible alternative to statistical methods. In this survey, themain soft computing methods applied in credit scoring models are presented and the advantages as well as the limitations ofeach method are outlined. The main modelling issues are discussed especially from the data mining point of view. The studyconcludes with a series of suggestions of other methods to be investigated for credit scoring modelling