Akademik Veri Yönetim Sistemi
Intelligent and Fuzzy Techniques in Aviation 4.0. Studies in Systems, Decision and Control, Cengiz Kahraman,Serhat Aydın, Editör, Springer, London/Berlin , London, ss.497-520, 2022
Industry 4.0 revolution and elements related to it such as IoT
technologies, artificial intelligence, cognitive computing, big data
analytics, and digitization of systems initiated a transformation in
almost every industry and application area. This big revolution step
generated a paradigm shift in the aviation industry too, addressing a
new concept called Aviation 4.0. As IoT aided logistics application
devices, which are designed to be remotely administered, UAVs attract
more attention and get popular every day, and employment of this
technology in delivery or transportation processes becomes the new
trend, due to its competency on operating in difficult or dangerous
geographical areas, lower resource consumption, higher mobility level,
faster response feature, plus contactless and sustainable delivery
potential. 10 different performance indicators related to UAVs are
investigated with two different fuzzy number styles, named hesitant and
Pythagorean fuzzy numbers, respectively, and AHP MCDM methodology, in
this study. The results implied that the first two important key factors
were determined as privacy and economic life of UAVs in logistic
activities with respect to Aviation 4.0. In order for the process of
using UAVs in logistics applications within the scope of aviation 4.0 to
be successful, attention must be paid to the features related to the
privacy and economic life of the utilized UAVs.