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Intelligent and Fuzzy UAV Transportation Applications in Aviation 4.0

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Intelligent and Fuzzy Techniques in Aviation 4.0

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 372))

Abstract

In the last decade, Aviation 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 4.0, especially in the transportation area. The intelligent and fuzzy UAV transportation applications are of the most important applications in Aviation 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 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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Authors and Affiliations

  1. Université de Haute-Alsace, IRIMAS UR 7499, F-68100, Mulhouse, France

    Mahmoud Golabi

  2. Department of Industrial Engineering, Girne American University, 99428, Kyrenia, TRNC, Turkey

    Mazyar Ghadiri Nejad

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  1. Mahmoud Golabi
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Correspondence to Mazyar Ghadiri Nejad .

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  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Air Force Academy, National Defence University, Istanbul, Turkey

    Serhat Aydın

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Golabi, M., Nejad, M.G. (2022). Intelligent and Fuzzy UAV Transportation Applications in Aviation 4.0. In: Kahraman, C., Aydın, S. (eds) Intelligent and Fuzzy Techniques in Aviation 4.0. Studies in Systems, Decision and Control, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-75067-1_19

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