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Credit scoring is an important tool for banks and financial institutions to measure credit risk. Linear discriminant analysis (LDA) which according to the score of each credit applicant categorizes these applicants by a cutoff is a comprehensible and robust method in the credit scoring domain. This work presents a novel multi-objective particle swarm optimization for credit scoring (MOPSO-CS), and...
Over the past few decades, many classifier methods are suggested for credit risk evaluation. With ever-increasing amounts of data, for multi-criteria optimization classifier (MCOC) and other traditional classification methods, owing to the correlation among different features in data these classifiers often give the poor predictive performance. Thus, some dimensionality reduction techniques are firstly...
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