Multi-class and Multi-index Evaluation Based on Grey Correlation and Principal Component Analysis Method and its Application

机译：基于灰色关联和主成分分析法的多类多指标评价及其应用

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Multi-index evaluation is a main topic in the evaluation domain, especially the selection and the analysis between the indexes of multi-class problem and multi-index evaluation, which is important between theoretical and practical research.Financial Firstly, according to the individuals and the targets in the evaluation, a appropriate evaluation index system with two-level indexes is proposed.Additionally, the principal component analysis method for the second level standardized indexes is used to determine the first level value.Moreover, the grey correlation is employed to analyze the dynamic time series to obtain the key factors.At last, the method is used to the financial investment in Jiangsu Province as an instance of the performance evaluation to verify the validity of the above method.

机译：多指标评价是评价领域的主要课题，尤其是多类问题和多指标评价指标之间的选择与分析，在理论与实践研究之间具有重要意义。针对评价指标，提出了一种适用于二级指标的评价指标体系。此外，采用二级标准指标的主成分分析方法确定一级指标值，并采用灰色关联度进行分析。最后，将该方法用于江苏省金融投资绩效评价的实例，验证了该方法的有效性。

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来源
《2011 IEEE International Conference on Grey Systems and Intelligent Services》|2011年|163-166|共4页
会议地点 Nanjing(CN)
作者
MU Sen; DANG Yao-guo;
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作者单位

College of Economics and Management University of Aeronautics and Astronautics, Nanjing,China;

College of Economics and Management University of Aeronautics and Astronautics,Nanjing,China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词
Multi-index evaluation; principal component analysis; grey correlation; index weighs;

机译：多指标评估；主成分分析；灰色关联；指标权重;

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Multi-class and Multi-index Evaluation Based on Grey Correlation and Principal Component Analysis Method and its Application

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