Research Article
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UAV Selection Using Fuzzy AHP and PROMETHEE Method

Year 2025, Volume: 9 Issue: 1, 13 - 18, 26.02.2025
https://doi.org/10.30518/jav.1545474

Abstract

UAV (Unmanned Aerial Vehicle) is an aircraft that can fly by remote control or automated system and does not have the capacity to carry people. The optimal selection of UAVs is critical for the successful conduct of operations and the prevention of loss of life and property. The aim of this study is to prioritize the criteria affecting the selection of UAVs and to rank the Strategic UAVs based on these criteria. Thus, it is aimed to improve the UAV selection process of decision makers. As a result of the literature search, there were no studies on the most important criteria affecting the selection of operational, tactical and strategic UAVs. Therefore, Fuzzy AHP and PROMETHEE methods were applied to fulfill these objectives. As a result, it was determined that the most important criteria in the selection of UAVs are realizability, flight stability and payload success rate value.

References

  • Ardil, C. (2023). Unmanned Aerial Vehicle Selection Using Fuzzy Multiple Criteria Decision-Making Analysis. International Journal of Aerospace and Mechanical Engineering 17(8):303–311.
  • Chaturvedi, K., Raj S., Saikat B., and Hutanshu K. (2019). Comparative Review Study of Military and Civilian Unmanned Aerial Vehicles (UAVs). INCAS BULLETIN 11(3):183–198.
  • Dağdeviren, M. (2008). Decision Making in Equipment Selection: An Integrated Approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing 19(4):397–406.
  • Elmeseiry, N., Nancy A., and Tawfik I. (2021). A Detailed Survey and Future Directions of Unmanned Aerial Vehicles (UAVs) with Potential Applications. Aerospace 8(12):363-380.
  • Erkec, Tuncay Yunus, and Chingiz Hajiyev. 2020. Relative Navigation in UAV Applications. International Journal of Aviation Science and Technology 1(2):52–65.
  • Hamurcu, M., and Tamer E. (2020). Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision- Making for Defence. Journal of Mathematics 2020:1–11.
  • Keleş, N. (2024). A Comparative Evaluation of Multi-Criteria Decision-Making Framework for Armed Unmanned Aerial Vehicle. International Journal of Intelligent Unmanned Systems 12(4):433–453.
  • Mekdad, Y., Ahmet A., Leonardo B., Abdeslam E. F., Mauro C., Riccardo L., and Selcuk U. (2023). A Survey on Security and Privacy Issues of UAVs. Computer Networks 224:109-121.
  • Mohd N., Norzailawati, A. A., and Mazlan H. (2018). Remote Sensing UAV/Drones and Its Applications for Urban Areas: A Review. IOP Conference Series: Earth and Environmental Science 169-172.
  • Pavel, H., and Jana, T. (2016). A Free Software Tool Implementing the Fuzzy AHP Method. Pp. 266–271 in. Liberec, Czech Republic.
  • Ramík, J., and Petr K. 2010. Inconsistency of Pair-Wise Comparison Matrix with Fuzzy Elements Based on Geometric Mean. Fuzzy Sets and Systems 161(11):1604–1613.
  • Sadiq, R., and Solomon T. (2009). Environmental Decision-Making under Uncertainty Using Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP). Stochastic Environmental Research and Risk Assessment 23(1):75–91.
  • Tadić, S., Mladen K., Miloš V., Olja Č., and Milica M. (2024). Risk Analysis of the Use of Drones in City Logistics. Mathematics 12(8):1208-1250.
  • Uçar, U. U., Aylin A., and Burak T. (2022). A Multi-Criteria Solution Approach for UAV Engine Selection in Terms of Technical Specification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11(4):1000–1013.
  • Wang, X., Hai W., Hongyun Z., Min W., Lei W., Kaikai C., Chen L., and Yu D. (2023). A Mini Review on UAV Mission Planning. 19(5):3362–3382.
Year 2025, Volume: 9 Issue: 1, 13 - 18, 26.02.2025
https://doi.org/10.30518/jav.1545474

Abstract

References

  • Ardil, C. (2023). Unmanned Aerial Vehicle Selection Using Fuzzy Multiple Criteria Decision-Making Analysis. International Journal of Aerospace and Mechanical Engineering 17(8):303–311.
  • Chaturvedi, K., Raj S., Saikat B., and Hutanshu K. (2019). Comparative Review Study of Military and Civilian Unmanned Aerial Vehicles (UAVs). INCAS BULLETIN 11(3):183–198.
  • Dağdeviren, M. (2008). Decision Making in Equipment Selection: An Integrated Approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing 19(4):397–406.
  • Elmeseiry, N., Nancy A., and Tawfik I. (2021). A Detailed Survey and Future Directions of Unmanned Aerial Vehicles (UAVs) with Potential Applications. Aerospace 8(12):363-380.
  • Erkec, Tuncay Yunus, and Chingiz Hajiyev. 2020. Relative Navigation in UAV Applications. International Journal of Aviation Science and Technology 1(2):52–65.
  • Hamurcu, M., and Tamer E. (2020). Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision- Making for Defence. Journal of Mathematics 2020:1–11.
  • Keleş, N. (2024). A Comparative Evaluation of Multi-Criteria Decision-Making Framework for Armed Unmanned Aerial Vehicle. International Journal of Intelligent Unmanned Systems 12(4):433–453.
  • Mekdad, Y., Ahmet A., Leonardo B., Abdeslam E. F., Mauro C., Riccardo L., and Selcuk U. (2023). A Survey on Security and Privacy Issues of UAVs. Computer Networks 224:109-121.
  • Mohd N., Norzailawati, A. A., and Mazlan H. (2018). Remote Sensing UAV/Drones and Its Applications for Urban Areas: A Review. IOP Conference Series: Earth and Environmental Science 169-172.
  • Pavel, H., and Jana, T. (2016). A Free Software Tool Implementing the Fuzzy AHP Method. Pp. 266–271 in. Liberec, Czech Republic.
  • Ramík, J., and Petr K. 2010. Inconsistency of Pair-Wise Comparison Matrix with Fuzzy Elements Based on Geometric Mean. Fuzzy Sets and Systems 161(11):1604–1613.
  • Sadiq, R., and Solomon T. (2009). Environmental Decision-Making under Uncertainty Using Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP). Stochastic Environmental Research and Risk Assessment 23(1):75–91.
  • Tadić, S., Mladen K., Miloš V., Olja Č., and Milica M. (2024). Risk Analysis of the Use of Drones in City Logistics. Mathematics 12(8):1208-1250.
  • Uçar, U. U., Aylin A., and Burak T. (2022). A Multi-Criteria Solution Approach for UAV Engine Selection in Terms of Technical Specification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11(4):1000–1013.
  • Wang, X., Hai W., Hongyun Z., Min W., Lei W., Kaikai C., Chen L., and Yu D. (2023). A Mini Review on UAV Mission Planning. 19(5):3362–3382.
There are 15 citations in total.

Details

Primary Language English
Subjects Air-Space Transportation, Aerospace Materials
Journal Section Research Articles
Authors

Tuncay Yunus Erkeç 0000-0003-3357-0985

Fahri Alp Erdoğan 0000-0001-6069-5981

Salih Aygün 0000-0003-4254-8202

Murat Sağbaş 0000-0001-5179-7425

Early Pub Date February 24, 2025
Publication Date February 26, 2025
Submission Date September 11, 2024
Acceptance Date January 14, 2025
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Erkeç, T. Y., Erdoğan, F. A., Aygün, S., Sağbaş, M. (2025). UAV Selection Using Fuzzy AHP and PROMETHEE Method. Journal of Aviation, 9(1), 13-18. https://doi.org/10.30518/jav.1545474

Journal of Aviation - JAV 


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