TRAINING AIRCRAFT SELECTION FOR DEPARTMENT OF FLIGHT TRAINING IN FUZZY ENVIRONMENT
No Thumbnail Available
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Regional Association for Security and crisis management
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
BWM, Flight training, Fuzzy Sets, Linear programming model, Training aircraft selection
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
N/A
Scopus Q
Q1

OpenCitations Citation Count
6
Source
Decision Making: Applications in Management and Engineering
Volume
5
Issue
1
Start Page
264
End Page
289
PlumX Metrics
Citations
CrossRef : 2
Scopus : 15
Captures
Mendeley Readers : 14
Google Scholar™

OpenAlex FWCI
3.40832924
Sustainable Development Goals
11
SUSTAINABLE CITIES AND COMMUNITIES


