Combining Grey Theory and Principal Component Analysis to Evaluate Financial Performance of the Airline Companies in Taiwan

被引：0

作者：

Tung, Che-Tsung ^{[1
]}

Lee, Yu-Je ^{[2
]}

Wang Kuo-Hsien ^{[3
]}

机构：

[1] Takming Univ Sci & Technol, Dept Int Trade, Taipei, Taiwan

[2] Takming Univ Sci & Technol, Dept Mkt Management, Taipei, Taiwan

[3] Takming Univ Sci & Technol, Dept Business Adm, Taipei, Taiwan

来源：

JOURNAL OF GREY SYSTEM | 2009年 / 21卷 / 04期

关键词：

Grey theory; Principal component analysis (PCA); Financial performance; Grey principal component analysis (GPCA); BANKRUPTCY PREDICTION; DISTRESS; INDUSTRY; RATIOS; MODEL;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This study combines the advantages of grey theory and principal component analysis (PCA) to evaluate the financial performance of four main listed Taiwanese airline companies. The grey relational analysis (GRA) matrix was introduced to replace the correlation matrix of the traditional PICA, and build an evaluation model of grey principal component analysis (GPCA). Based on this model, this study adopted the TEJ Data Base to trace changes in the financial performance of those four companies during seven half-year periods. The results show a good evaluation effect and successful verification of a company in a financial crisis.

引用

页码：357 / 368

页数：12

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