Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier
A least squares fuzzy support vector machine (LS-FSVM) model that integrates advantages of fuzzy support vector machine (FSVM) and least squares method is proposed for credit risk evaluation. In the proposed LS-FSVM model, the purpose of incorporating the concepts of fuzzy sets is to add generalizat...
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| Автор: | |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2014-01-01
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| Серія: | Discrete Dynamics in Nature and Society |
| Онлайн доступ: | http://dx.doi.org/10.1155/2014/564213 |
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