Abstract: This paper presents a new method, cased-based reasoning (CBR)for the credit evaluation of business enterprises, and applies principal component analysis(PCA) in the multivariate statistical methods to reduce traditional calculations of similarity metric. Functions of the enterprise credit evaluation system are described. The key technologies reasoning this system are also presented.

摘要： 文章把基于案例的推理方法运用于商业企业的信用评估中，其中采用多元统计方法中的主成分分析法简化了传统的案例相似度的运算，建立了企业信用评估系统的模型，并叙述了实现企业信用评估系统的关键技术。

关键词: 案例推理, 相似性度量, 主成分分析, 决策支持, 资信评估

CLC Number: 

• TP399