Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2944
Title: TRAINING AIRCRAFT SELECTION FOR DEPARTMENT OF FLIGHT TRAINING IN FUZZY ENVIRONMENT
Authors: Torğul, Belkız
Demiralay, Enes
Paksoy, Turan
Keywords: BWM
Flight training
Fuzzy Sets
Linear programming model
Training aircraft selection
Issue Date: 2022
Publisher: Regional Association for Security and crisis management
Abstract: The last two decades have seen a growing trend towards the use of aircraft as transportation tools. However, there is a lack of routes because of the insufficient number of pilots. Therefore, the increase in usage of aircraft has been limited. To respond to this increase in Turkey, it indicates a rise in the number of flight academies. Flight academies have emerged as powerful and expensive platforms for flight training. In the new global economy, the aircraft selection problem has become a central issue for Flight Training Departments, which is planned to open in government universities. In this study, an approach based on the fuzzy BWM method is proposed to select more suitable training aircraft in government universities. Criterion weights and alternative aircraft rankings were determined using the fuzzy BWM method. Afterward, a mathematical model was developed to calculate how many aircraft we need to buy under certain constraints. Necmettin Erbakan University, which wants to train new and qualified pilots, needs training aircraft and trainers that can provide pilot training. A case study of training aircraft selection was conducted for the Necmettin Erbakan University Department of Flight Training. As a result, it can be said that 13 aircraft will be sufficient for the Flight Training department to start education. © 2022 by the authors.
URI: https://doi.org/10.31181/dmame0311022022t
https://hdl.handle.net/20.500.13091/2944
ISSN: 2560-6018
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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