Abstract
Modern warplanes are assessed by military forces according to a multitude of factors. The production of fighter aircraft for the Turkish Air Forces, National Combat Aircraft (NCA) project currently being carried out by Turkish Aerospace Industries under the auspices of the defense industry presidency. In the present conditions, purchasing a new combatant warplane is a faster solution than producing a new one.
According to the findings of the literature review, a total of 13 criteria should be taken into consideration for the selection of fighter aircraft for the Turkish Air Forces, including purchasing cost, installation and maintenance cost, the suitability of the existing weapon systems of the Turkish Armed Forces, and the political climate of relevant countries. Since some of the criteria cannot be expressed numerically due to the shortage of information, fuzzy logic can be utilized to overcome this issue. Especially, hesitant fuzzy sets can be a good candidate to express the vagueness with the assigning more than one membership. To determine the weights of the criteria, the hesitant fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method has been integrated z-number theory considering reliability functions of the decision-makers. Then, the classical VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) mothod has been used to select the alternative aircraft type deemed most suitable for the Turkish Air Force. To show reliability of the paper, the sensitivity analysis has been performed.
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Çifçi, Y., Metin, A., Arslan, T.T., Gündoğdu, F.K. (2023). Selection of Fighter Aircraft for Turkish Air Forces Under Uncertain Environment. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 758. Springer, Cham. https://doi.org/10.1007/978-3-031-39774-5_73
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