###### Abstract
In another study by [PERSON] and [PERSON] in the same year, they focused on the capacity-free multiple P-hub median problem for the location allocation of new hub airports. They put forth exact and heuristic algorithms aimed at determining Pareto bounds for new investment strategies and for minimizing transportation costs within airline networks. Their study revealed that opting for routes with fewer stops is not always cost-effective, as it may lead to an increase in the overall costs within the airport network [8]. In another study in 2019, [PERSON] et al. employed the AHP method to identify parameters for the establishment of a new hub airport. They conducted their study for four international airports in Indonesia. Five criteria were evaluated, and the order of importance was determined for the selection of an airport that could serve as a hub airport. As a result, they found that airport charges and airport costs are the most significant criteria [9]. In 2020, [PERSON] and [PERSON] conducted a study in which they evaluated five airports for the selection of a new hub airport aimed at ensuring low costs. In their study, they employed the Interval-valued Intuitionistic Fuzzy (IVIF) method, the Weighted Aggregated Sum Product (WASPAS) method and the Multi-Objective Optimization (MULTIMOORA) method. Based on twelve evaluation criteria, Antalya Airport was determined to be the most suitable alternative [10]. In 2022, [PERSON]'s study also tackled the vector-optimization problem, considering variable dominant and non-dominant solution structures for the selection of a new hub airport. He utilized his proposed approach to evaluate seven airports across seven criteria. As a result of the study, Brussels Airport was identified as the most suitable airport [11]. In 2023, [PERSON] et al. sought to determine the hub airport and evaluated five airports in North African countries, considering five criteria. A hybrid gray-CODAS (Combined Distance-Based Assessment) method was employed in the assessment. As a result of the evaluation, Morocco International Airport Mohammed V, was identified as the best alternative [12]. In another study conducted by [PERSON] et al. in the same year, they undertook an evaluation considering six criteria for the selection of a hub airport. The evaluation encompassed twelve airports in Turkiye, utilizing the Fuzzy AHP method. Following the study, Izmir Airport emerged as the most suitable choice for a hub airport [13]. In summary, numerous studies have been conducted, employing a variety of methods in the literature for the selection of airport transfer centers. However, there has not been a study that combines the AHP method with MOORA and ELECTRE techniques for airport hub selection, particularly focusing on international airports in Turkiye. MCDM methods offer very effective solutions because they represent a collective mind rather than a single person and are comparable between methods. Using methods together or in a hybrid way plays a major role in increasing the accuracy of the decision. This study can be characterized as novel, as it explores a unique combination of methodologies and considers diverse criteria for airport hub selection. Other parts of the study can be summarized as follows: Section 2 delves into the methodologies employed and the data utilized, while Section 3 evaluates the findings, presents a sensitivity analysis and underscores the study's contributions. Finally, Section 4 discusses the outcomes of the evaluation and provides recommendations for future research directions.