Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concerns of Basel II, credit risk analysis has become a major focus of the financial and banking industry. Especially for credit-granting institutions such as commercial banks and credit companies, the ability to distinguish good customers from bad ones is crucial. The need for reliable quantitative models that accurately predict defaults is imperative so that interested parties can take either preventive or corrective action. Hence, credit risk analysis is very important for the sustainability and profit of enterprises. In this context, this book aims to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing.