## 3 Findings and Discussion
### Evaluation of Alternatives for Airport Transfer Center Selection
#### 3.3.3 Evaluation of Alternative Airport Terminals According to MOORA Method
\begin{table}
\begin{tabular}{c c c} \hline  & \(\rm{p_{j}}\) & **Ranking** \\ \hline \multirow{4}{*}{**Airports**} & **AP1** & 0.3475 & 1 \\  & **AP2** & 0.4865 & 5 \\  & **AP3** & 0.3721 & 2 \\  & **AP4** & 0.4773 & 4 \\  & **AP5** & 0.4170 & 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 20: Ranking of airport hubs according to the MOORA Reference Point Approach. In addition, when making pairwise comparisons between criteria, evaluations may differ from person to person or the opinions of the evaluators may change over time. For this reason, examining the changes in the weights of the criteria and the possible effects from the perspective of decision makers enables decisions to be made more effectively. By evaluating different scenarios, one can be sure about the stability of the methods according to the ranking changes. For this reason, in the last part of the study, sensitivity analysis was carried out to see how the ranking results changed with the change of criterion weights in airport transfer center selection. The aim is to handle variability in rankings according to methods. The current weights and the weights of seven different scenarios (Sce1, Sce2, Sce3, Sce4, Sce5, Sce6 and Sce7) are shown in Table 22. In line with each scenario, the change in the ranking of alternative airports was observed for both the ELECTRE method and the MOORA Importance Coefficient method, which takes into account the criterion weights. The change in the rankings as a result of the evaluation made for the ELECTRE method according to seven different scenarios is shown in Figure 5. \begin{table}
\begin{tabular}{l l l l l l l} \hline \hline  & **CRI1** & **CRI2** & **CRI3** & **CRI4** & **CRI5** & **CRI6** & **CRI7** \\ \hline
**Current Weights** & 0.406 & 0.167 & 0.112 & 0.079 & 0.122 & 0.078 & 0.037 \\ \hline
**Sce1** & 0.037 & 0.078 & 0.122 & 0.079 & 0.112 & 0.167 & 0.406 \\
**Sce2** & 0.143 & 0.143 & 0.143 & 0.143 & 0.143 & 0.143 & 0.143 \\
**Sce3** & 0.037 & 0.167 & 0.112 & 0.079 & 0.122 & 0.078 & 0.406 \\
**Sce4** & 0.037 & 0.078 & 0.022 & 0.012 & 0.079 & 0.067 & 0.706 \\
**Sce5** & 0.037 & 0.078 & 0.022 & 0.012 & 0.379 & 0.267 & 0.206 \\
**Sce6** & 0.179 & 0.167 & 0.106 & 0.137 & 0.178 & 0.122 & 0.112 \\
**Sce7** & 0 & 0.167 & 0.106 & 0.137 & 0.178 & 0.233 & 0.179 \\ \hline \hline \end{tabular}
\end{table} 
Table 22: Scenarios determined for sensitivity analysis. Figure 5: Sensitivity analysis for ELECTRE Approach. When the sensitivity analysis for the ELECTRE method was examined, it was observed that the rankings of the alternatives did not change much with the change in criterion weights. The change in the rankings as a result of the evaluation made for the MOORA Importance Coefficient Approach according to seven different scenarios is shown in Figure 6.  
When the sensitivity analysis for the MOORA Importance Coefficient Approach is examined, it is observed that both Cukurova Airport and Antalya Airport are in the first two ranks with the change in criterion weights, and the ranks of the other airports have not changed much. With the sensitivity analysis, it was observed that the results of both methods were stable. As the demand for air transportation is increasing day by day, we think that it would be beneficial to determine a new hub for Turkiye and we think that the results of this study are satisfactory. Cukurova Airport is located in a location with land, air and sea transportation connections. Cukurova Airport, which has more capacity than the airport that previously served the region, ranks first in the study results. It is thought that Cukurova Airport will make significant contributions to the region's foreign trade and logistics sector and will play a very important role in regional development. Antalya province is important for the tourism policies of the country where supply and demand are developed in terms of accommodation sector. For this reason, the fact that Antalya Airport is another airport that can be preferred as a transit center in the results strengthens the results of our study.