| 改进的基于特征向量集的距离判别及在企业信用评价中的应用 |
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| 引用本文： | 苏连塔,黄利文. 改进的基于特征向量集的距离判别及在企业信用评价中的应用[J]. 数学的实践与认识, 2011, 41(1) |
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| 作者姓名： | 苏连塔 黄利文 |
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| 作者单位： | 泉州师范学院数学与计算机科学学院,福建泉州,362000 |
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| 基金项目： | 泉州师范学院校级自选课题，福建省教育厅A类科技项目 |
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| 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.
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| 关 键 词： | 企业评价 判别分析 上市公司 财务数据 |
Improved Distance Discriminant Analysis Based on Character Vector Set and Its Application In Criedit Evaluation of Corporations |
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| SU Lian-ta,HUANG Li-wen. Improved Distance Discriminant Analysis Based on Character Vector Set and Its Application In Criedit Evaluation of Corporations[J]. Mathematics in Practice and Theory, 2011, 41(1) |
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| Authors: | SU Lian-ta HUANG Li-wen |
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| Abstract: | 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. |
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| Keywords: | corporation evaluation distance discriminant analysis listed companies financial data |
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