摘要
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.
On distance discriminant analysis based on character vector set,this paper proposes a new method,and trys to resolve the drawbacks of a large amount of calculation in current discriminant analysis and the poor performance in discriminant analysis of complex data.At the same time,this method is used in credit evaluation of corporations,and compared with the traditional method of discriminant analysis and some improved discriminant discriminant method,the experimental results show that the method improves the accuracy of credit evaluation of corporations.
出处
《数学的实践与认识》
CSCD
北大核心
2011年第1期52-57,共6页
Mathematics in Practice and Theory
基金
泉州师范学院校级自选课题(2008KJ015)
福建省教育厅A类科技项目(2010JA10235)
关键词
企业评价
判别分析
上市公司
财务数据
corporation evaluation
distance discriminant analysis
listed companies
financial data
