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Unmanned Aerial Vehicles Landing Sequencing Modelling  Via Fuzzy Logic Air Traffic Controllers are decision maker in dynamic and complex environment including numerous actors, consistent updating of pertinent data. They need to decide in a short time with incomplete information, under time pressure and high workload. Basically for sequencing and separating the aerial vehicles there are some inputs like speed, altitude, distance, rate of descend, endurance etc. On the other hand universal rules for sequencing and separating cannot be omitted. But finally we have only one output: “Who will be the number one for landing?” In that point, we propose a new model via fuzzy logic. The determination of conflicts between aircraft can be regarded as a very complex problem, yet air traffic controllers have the capacity to perform the undertaking with high rates of accomplishment under demanding circumstances. Much of the expertise of the air traffic controller appears to lie in the capacity to choose the suitable methodology for the issue. In this paper, we present an analytic approach for UAV landing sequencing modelling with in the dynamic airspace including different mission types or applications for both military and civilian vehicles. For modelling, we utilize the MATLAB Fuzzy FIS (Fuzzy Inference System) with realistic data and create the user friendly interface with MATLAB/GUI. The simulation results show that the proposed model is a robust alternative for maximum mission efficiency, minimum fuel consumption and delay reduction. Insansiz Hava Araclari Inis Siralamasinin Bulanik Mantik Modellemesi Bir hava trafik kontroloru, hava trafik yonetiminin emniyetli, etkin ve suratli bir sekilde saglanmasindan sorumludur. Hava trafik kontrolorlerinin en onemli gorevlerinden biri emniyetli bir ucus icin hava araclari arasindaki mesafelendirmeyi diger bir ifade ile ayirmayi dogru olarak saglayabilmesidir. Emniyetin yani sira trafik akisinin hiz ve verimliligini temin etmek de kontrolorun amacidir. Hava trafik kontrolorunun amacina ulasmasi bircok karmasik uygulama, planlama, karar verme, iletisim ve koordinasyon faaliyetlerinin en iyi sekilde gerceklestirmesine baglidir. Bu da hava trafik kontrolorlerin calisma ortamini cok karmasik ve dolayisiyla hatalara yatkin hale getirmektedir. Bu calismada, insansiz hava araclari inis siralamasi icin onerilen bulanik mantik modellemesinin tasarim asamasinda MATLAB/FIS (Fuzzy Inference System – Bulanik Mantik Arayuzu) editoru kullanilmistir. Bulaniklastirma arayuzunun  uyelik fonksiyonlari olarak, inis siralamasina etki eden alti adet parametrenin sayisal degerlerine karsilik gelen ucgen ve yamuk uyelik fonksiyonlari kullanilmistir. Bunun yani sira belirlenen uyelik fonksiyonlari normal, monoton ve simetriktir. Cikarim motorunda Min-Max Metodu ile Mamdani Yontemi, durulama arayuzunde ise Agirlik Merkezi Yontemi kullanilmistir. Bulanik mantik tabanli modellemenin olusturulmasindan sonra hava trafik kontrolorlerinin insansiz hava araclarina ait verileri isleyerek daha hizli ve kolay bir sekilde sonuca ulasmalarini saglayacak alti adet insansiz hava araci bilgilerinin girilebildigi kullanici arayuzu MATLAB/GUI  yardimiyla tasarlanmistir.

Unmanned Aerıal Vehicles Landing Sequencing Modelling Via Fuzzy Logic / İnsansız Hava Araçları İniş Sıralamasının Bulanık Mantık Modellemesi