Employing the multiple criteria decision making methodology to in-depth discuss the potential of South Africa through the evaluation of ten economies

Ming Yuan Hsieh*, Chung Hsing Huang, Chaang Yung Kung, Wen Ming Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Pages1872-1877
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012 - Xian, Shaanxi, China
Duration: 15 07 201217 07 2012

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume5
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Country/TerritoryChina
CityXian, Shaanxi
Period15/07/1217/07/12

Keywords

  • Cluster grey relation analysis (C-GRA)
  • Macroeconomic Evaluation
  • Multiple criteriadecision making (MCDM)

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