信用评级系统是金融业信息化建设的重要系统之一。文章分析了信用评估系统的需求,结合评估模型理论,开发设计了一套基于组合优化决策树的信用风险智能分析系统。应用结果表明,系统具有良好的风险预测能力。
Credit rating system is one of the most important systems in finance industry. This paper analyzes the demand for the credit information system, and combining with evaluation model theory, develops and designs an intelligent system to analyze credit risk based on combined optimization decision tree. The results show that the credit evaluation system has a remarkable risk forecast capability.