Neighborhood rough set and SVM based hybrid credit scoring classifier

@article{Yao2011NeighborhoodRS,
  title={Neighborhood rough set and SVM based hybrid credit scoring classifier},
  author={Ping Yao and Yongheng Lu},
  journal={Expert Syst. Appl.},
  year={2011},
  volume={38},
  pages={11300-11304}
}
The credit scoring model development has become a very important issue, as the credit industry is highly competitive. Therefore, considerable credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicant’s credit score according to the applicant’s input features: (1) using neighborhood rough set to select input features; (2… CONTINUE READING
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