RANKING OF THE MEMBER COUNTRIES IN THE BLACK SEA ECONOMIC COOPERATION ORGANIZATION USING MULTI-CRITERIA DECISION-MAKING METHODS
Year 2024,
Volume: 12 Issue: 2, 326 - 343, 01.06.2024
Ahmet Sarucan
,
Mehmet Emin Baysal
,
Orhan Engin
Abstract
The objective of the study is to measure and rank the performance of the Black Sea Economic Cooperation Organization (BSECO) member countries for the different four years using Multi-Criteria Decision Making (MCDM) techniques widely used in performance measurement. This is the first study using CRITIC (Criteria Importance through Intercritera Correlation), COPRAS (Compress PRoportional ASssessment- Complex Relative Assessment) and Borda Count Methods to rank countries on basic energy indicators using MCDM. The CRITIC method was used to calculate the critical weights of the criteria established in the first stage of the three-stage work. It is an objective method of MCDM. The performance of BSECO member countries is ranked using the COPRAS method. The weights calculated in the second stage are used for the ranking. In the last stage, using the Borda count method, which is a data fusion technique, a single ranking was obtained by integrating the rankings obtained under different scenarios. According to this result, Albania was the first, Georgia was the second and Armenia was the third. The last place was taken by Türkiye. Thus, MCDM techniques can provide effective and comprehensive results in this kind of problems. It can be observed that the unbiased results are objective measures of the criteria used.
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Year 2024,
Volume: 12 Issue: 2, 326 - 343, 01.06.2024
Ahmet Sarucan
,
Mehmet Emin Baysal
,
Orhan Engin
References
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- R. Nuray, and F. Can, “Automatic ranking of information retrieval systems using data fusion,” Information Processing and Management, vol. 42, no. 3, pp. 595-614, 2006.
- J. Asafu-Adjaye, “The relationship between energy consumption, energy prices, and economic growth: time series evidence from Asian developing countries,” Energy Economics, vol. 22, no. 6, pp. 615-625, 2000.
- P. Mozumder, and A. Marathe, “Causality relationship between electricity consumption and GDP in Bangladesh,” Energy Policy, vol. 35, no. 1, pp. 395-402, 2007.
- A. Belke, F. Dobnik, and C. Dreger, “Energy consumption and economic growth – new insights into the cointegration relationship,” Energy Economics, vol. 33, no. 5, pp. 782-789, 2011.
- M. Gök, “Ranking G20 countries with regard to energy indicators via multiple criteria decision making techniques,” M. S. thesis, Ankara University, Ankara, 2015.
- International Energy Agency, “Key world energy statistics, 2017.” Available: http://www.iea.org/statistics/statisticssearch/report/?country=TURKEY&product=indicators&year=2010 [Accessed: July 26, 2018].
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- J. Ramík, and R. Perzina, “A method for solving fuzzy multicriteria decision problems with dependent criteria,” Fuzzy Optimization and Decision Making, vol. 9 pp. 123–141, 2010.