## 3 Results
### Ranking with COPRAS Method  
Given the complex nature of planning and strategy development problems and the fact that they often contain contradictory criteria, MCDM methods have been widely used in this field [2]. In this study, 38 OECD countries, whose criteria were weighted within their cluster group with the CRITIC method, were ranked with the COPRAS method. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & \multicolumn{3}{c}{**Cluster**} \\ \cline{2-4}
**Variables** & **1** & **2** & **3** \\ \hline Electricity from wind—TWh & 0.0539 & 0.0625 & 0.0625 \\ Electricity from hydro sources—TWh & 0.0796 & 0.0741 & 0.1000 \\ Electricity from solar sources—TWh & 0.0841 & 0.0710 & 0.0625 \\ Other renewables including bioenergy—TWh & 0.0603 & 0.0533 & 0.0625 \\ Employment-to-population ratio, 15+, total (\%) & 0.0769 & 0.0738 & 0.0625 \\ Population & 0.1476 & 0.1383 & 0.1000 \\ Labor force, total & 0.0777 & 0.0811 & 0.0625 \\ GDP & 0.0697 & 0.0663 & 0.0625 \\ Purchasing power parities and exchange rates & 0.0602 & 0.0815 & 0.0625 \\ Consumer price index & 0.0908 & 0.0636 & 0.1000 \\ CO2 emissions & 0.0696 & 0.0714 & 0.1000 \\ Carbon intensity of electricity—gCO2/kWh & 0.0556 & 0.0666 & 0.1000 \\ Per capita energy use & 0.0740 & 0.0964 & 0.0625 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: “CRITIC” weight coefficients of the criteria for 2022. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & \multicolumn{3}{c}{**Cluster**} \\ \cline{2-4}
**Variables** & **1** & **2** & **3** \\ \hline Electricity from wind—TWh & 0.0598 & 0.0639 & 0.0787 \\ Electricity from hydro sources—TWh & 0.0741 & 0.0710 & 0.0504 \\ Electricity from solar sources—TWh & 0.0850 & 0.0695 & 0.0788 \\ Other renewables including bioenergy—TWh & 0.0626 & 0.0720 & 0.0802 \\ Employment-to-population ratio, 15+, total (\%) & 0.0759 & 0.0665 & 0.0470 \\ Population & 0.1497 & 0.1404 & 0.1289 \\ Labor force, total & 0.0809 & 0.0813 & 0.0787 \\ GDP & 0.0761 & 0.0678 & 0.0787 \\ Purchasing power parities and exchange rates & 0.0553 & 0.0874 & 0.0433 \\ Consumer price index & 0.0862 & 0.0450 & 0.0813 \\ CO2 emissions & 0.0705 & 0.0748 & 0.0858 \\ Carbon intensity of electricity—gCO2/kWh & 0.0504 & 0.0633 & 0.1225 \\ Per capita energy use & 0.0736 & 0.0972 & 0.0456 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: “CRITIC” weight coefficients of the criteria for 2021. According to the weights of the criteria of the study period determined by the CRITIC method, the ranking of the country performance for 2018 calculated by the COPRAS method was carried out as shown in Figure 7. In the first cluster, which includes countries such as Germany, Australia, and Japan, the USA ranked first in terms of renewable energy use performance, while in the second cluster, which includes countries such as Sweden, Switzerland, Norway, Chile, and France, ranked first in terms of performance. In the third cluster, Canada ranked first among countries such as the United Kingdom, Italy, and Spain. In the same cluster, T\(\ddot{\text{u}}\)rkiye ranked sixth in terms of renewable energy resource utilization performance. The ranking of country performance for 2019 is as shown in Figure 8. In the first cluster, including countries such as T\(\ddot{\text{u}}\)rkiye, Greece, and Mexico, Italy ranked first in terms of renewable energy use performance. In the same cluster, T\(\ddot{\text{u}}\)rkiye ranked second in terms of renewable energy resource use performance. In the second cluster, including countries such as France, Spain, Sweden, and Switzerland, the United Kingdom ranked first in terms of performance. In the third cluster, it ranked first among countries such as the USA, Germany, and the United Kingdom. The ranking of country performance for 2019 is as shown in Figure 9. In the first cluster, which includes countries such as Greece, T\(\ddot{\text{u}}\)rkiye, and Mexico, Italy ranked first in terms of renewable energy use performance. In the same cluster, T\(\ddot{\text{u}}\)rkiye ranked third in terms of renewable energy resource use performance.