Seyed Sadatrasoul

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Credit scoring is an important topic and banks collect different data from their loan applicants to make appropriate and correct decisions. Rule bases are favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants. This paper, uses four feature selection approaches as features pre-processing(More)
Credit scoring is an important topic, and banks collect different data from their loan applicant to make an appropriate and correct decision. Rule bases are of more attention in credit decision making because of their ability to explicitly distinguish between good and bad applicants. The credit scoring datasets are usually imbalanced. This is mainly because(More)
Credit scoring is a classification problem leading to introducing numeroustechniques to deal with itsuch as support vector machines, neural networks and rule-based classifiers. Rule bases are the top priority in credit decision making because of their ability to explicitly distinguish between good and bad applicants. In a credit-scoring context, imbalanced(More)
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