Bio-Inspired Credit Risk Analysis

I. Credit Risk Analysis with Computational Intelligence: An Analytical Survey

1. Credit Risk Analysis with Computational Intelligence: A Review

II. Unitary SVM Models with Optimal Parameter Selection for Credit Risk Evaluation

2. Credit Risk Assessment Using a Nearest-Point-Algorithm-based SVM with Design of Experiment for Parameter Selection

3. Credit Risk Evaluation Using SVM with Direct Search for Parameter Selection

III. Hybridizing SVM and Other Computational Intelligent Techniques for Credit Risk Analysis

4. Hybridizing Rough Sets and SVM for Credit Risk Evaluation

5. A Least Squares Fuzzy SVM Approach to Credit Risk Assessment

6. Evaluating Credit Risk with a Bilateral-Weighted Fuzzy SVM Model

7. Evolving Least Squares SVM for Credit Risk Analysis

IV. SVM Ensemble Learning for Credit Risk Analysis

8. Credit Risk Evaluation Using a Multistage SVM Ensemble Learning Approach

9. Credit Risk Analysis with a SVM-based Metamodeling Ensemble Approach

10. An Evolutionary-Programming-Based Knowledge Ensemble Model for Business Credit Risk Analysis

11. An Intelligent-Agent-Based Multicriteria Fuzzy Group Decision Making Model for Credit Risk Analysis

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Nyckelord: BUSINESS & ECONOMICS / Management Science BUS042000