在基于特征向量集的距离判别的基础上,提出新的判别分析方法,试图解决现有判别分析方法中计算量大及对复杂数据判别效果差的缺点.同时,将方法用于企业信用评价中,并与传统的判别方法及一些改进的判别方法作比较,实验结果表明,方法提高了企业信用评价的准确率. Based on the distance discriminant based on eigenvector set, a new discriminant analysis method is proposed to solve the shortcomings of large computational complexity and poor discrimination effect on complex data in the existing discriminant analysis methods. At the same time, the method is applied to the credit evaluation of enterprises , And compared with the traditional discriminant methods and some improved discriminant methods. The experimental results show that the method improves the accuracy of the enterprise credit appraisal.