DocumentCode
2318948
Title
Employing the multiple criteria decision making methodology to in-depth discuss the potential of South Africa through the evaluation of ten economies
Author
Hsieh, Ming-Yuan ; Huang, Chung-Hsing ; Kung, Chaang-Yung ; Wu, Wen-Ming
Author_Institution
Dept. of Int. Bus., Nat. Taichung Univ. of Educ., Taichung, Taiwan
Volume
5
fYear
2012
fDate
15-17 July 2012
Firstpage
1872
Lastpage
1877
Abstract
This research objectively employs the creative cluster grey relation analysis (C-GRA) to induce macroeconomic performance evaluation model (C-GRA MPEM) that is the result from the integration of the Grey Relation Analysis (GRA) and the Grey Cluster Analysis (GCA) to in-depth discuss the potential of South Africa through the evaluation of ten economies. The cross-analytic methodologies were integrated in order to add the assessable sensitivity of the performance evaluation model in an expounded macroeconomic performance study that discusses if South Africa has earned to be a member of BRIC by cross-analyzing ten macroeconomic indicators of eleven economies from a quantitative research perspective. The evaluated result distinctly indicates that South Africa has not only grown enough economically to be a member of BRIC but has also played a decisive role as a rapid growth driver in the global economy.
Keywords
decision making; economic indicators; grey systems; macroeconomics; operations research; pattern clustering; South Africa; creative cluster grey relation analysis; cross-analytic methodologies; grey cluster analysis; macroeconomic indicators; macroeconomic performance evaluation model; multiple criteria decision making; Abstracts; Economics; Lead; Reliability; USA Councils; Cluster grey relation analysis (C-GRA); Macroeconomic Evaluation; Multiple criteriadecision making (MCDM);
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359661
Filename
6359661
Link To Document