Evaluation of the Five Busiest Airports in Turkey through Fuzzy FUCOM and MAIRCA

Rahmi Baki

Abstract


Purpose: This study aims to evaluate and rank the performance of five major airports in Turkey through the proposed two-stage decision-making model.

Methodology: In the first stage of the approach developed, the weights of the criteria affecting the airport performance are determined by using the fuzzy Full Consistency Method (FUCOM) in line with the industry expert opinions. In the second stage, airports are ranked according to their performance through the Multi Attribute Ideal-Real Comparative Analysis (MAIRCA) method by using the data presented in the database of the Skytrax website.

Findings: As a result of the expert evaluation, it is determined that ground transportation and security screening services are the most important criteria in the assessment of airline performance. According to the findings obtained in the second phase of the application, the airport with the highest performance is Istanbul Airport.

Originality: The literature generally focuses on the evaluation of airline companies and there are not many studies comparing the performances of airports. In the current research, an integrated two-stage approach has been developed to compare the performance of five major airports in Turkey to fill this gap in the literature.

Keywords: Airport performance, success factors, fuzzy logic, FUCOM, MAICRA


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References


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European Journal of Applied Business and Management

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