Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1561
Title: Selection of the Best Face Recognition System for Check in and Boarding Services
Authors: Ucal Sarı, İrem
Sergi, Duygu
Kuchta, Dorota
Keywords: Intelligent check-in
Face recognition
Intelligent boarding
Fuzzy z-ahp
Fuzzy z-grey relational analysis
Publisher: Springer
Source: Kuchta, D., Sergi, D., & Ucal Sari, I. (2021). Selection of the Best Face Recognition System for Check in and Boarding Services. Intelligent and Fuzzy Techniques in Aviation 4.0, 361–384. https://doi.org/10.1007/978-3-030-75067-1_16 ‌
Abstract: Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
URI: https://doi.org/10.1007/978-3-030-75067-1_16
https://hdl.handle.net/20.500.11779/1561
ISSN: 2198-4182
Appears in Collections:Endüstri Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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