金融信用风险评估系统的实现和探讨

Realization and Discussion of Financial Credit Risk Evaluation System

介绍了一种基于案例推理和规则推理机制的金融机构信用风险评估系统,结合了2种推理方法的优点,实现了企业信用风险的评估,讲解了该系统中CBR的研究、案例匹配相似度算法,提出了改进的最短距离算法和最短距离算法,介绍了CBR的维护方法——施加控制案例的添加和折半案例的删除方法,指出了该系统中存在的问题和进一步的研究方向。

This paper introduces a credit risk evaluation system of financial organization based on CBR and RBR, which combines the advantages of the two reasoning approaches. It focuses on the realization and improvement of CBR in this system, according to the algorithm of case matching similarity, this system uses the nearest neighbor algorithm, the improved NN algorithm and NN algorithm, and shows the casebase maintenance approach. It points out some questions of this system and brings forward the further study directions.