In the last decade, Aviation 4.0Aviation 4.0 has attracted lots of researchers’ attention and with huge scientific progress, it has become one of the most important issues that researchers have focused on. According to the literature, different applications have been proposed for Aviation 4.0Aviation 4.0, especially in the transportationTransportation area. The intelligent and fuzzy UAV transportationTransportation applications are of the most important applications in Aviation 4.0Aviation 4.0. In this study, various related researches from the literature are visited under different categories of delivery operation problems by using UAVs such as facility location problems, vehicle routingVehicle routing problems, path-planning problems, and their applications. Moreover, a case study related to the uncertainty condition of UAV applications is considered. Fuzzy mathematical modelling is developed to address the problem, and a fuzzy possibilistic-based method is utilized to deffuzify the model. Then, a genetic algorithm is proposed to solve the problem and the results of some randomly generated cases are obtained and discussed. It is shown that the proposed method is a suitable approach for decision-makers to make an aerial delivery system.


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    Titel :

    Intelligent and Fuzzy UAV Transportation Applications in Aviation 4.0


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Kahraman, Cengiz (Herausgeber:in) / Aydın, Serhat (Herausgeber:in) / Golabi, Mahmoud (Autor:in) / Nejad, Mazyar Ghadiri (Autor:in)


    Erscheinungsdatum :

    2021-08-27


    Format / Umfang :

    28 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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