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 :
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