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BIO-INSPIRED CREDIT RISK ANALYSIS IBD

KIN KEUNG LAI / LEAN YU / SHOUYANG WANG
SPRINGER
10 / 2010
9783642096556
Inglés

Sinopsis

Part I Credit Risk Analysis with Computational Intelligence: An Analytical Survey: Credit Risk Analysis with Computational Intelligence: A Review,- Part II Unitary SVM Models with Optimal Parameter Selection for Credit Risk Evaluation: Credit Risk Assessment Using a Nearest-Point-Algorithm-based SVM with Design of Experiment for Parameter Selection,- Credit Risk Evaluation Using SVM with Direct Search for Parameter Selection ,- Part III Hybridizing SVM and Other Computational Intelligent Techniques for Credit Risk Analysis: Hybridizing Rough Sets and SVM for Credit Risk Evaluation,- A Least Squares Fuzzy SVM Approach to Credit Risk Assessment,- Evaluating Credit Risk with a Bilateral-Weighted Fuzzy SVM Model,- Evolving Least Squares SVM for Credit Risk Analysis,- Part IV SVM Ensemble Learning for Credit Risk Analysis: Credit Risk Evaluation Using a Multistage Credit Risk Analysis with a SVM-based Metamodeling Ensemble Approach,- An Evolutionary-Programming-Based Knowledge Ensemble Model for Business Credit Risk Analysis,- An Intelligent-Agent-Based Multicriteria Fuzzy Group Decision Making Model for Credit Risk Analysis.