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https://hdl.handle.net/20.500.11779/1561
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ucal Sarı, İrem | - |
dc.contributor.author | Sergi, Duygu | - |
dc.contributor.author | Kuchta, Dorota | - |
dc.date.accessioned | 2021-10-08T19:46:28Z | |
dc.date.available | 2021-10-08T19:46:28Z | |
dc.date.issued | 2022 | - |
dc.identifier.citation | 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 | en_US |
dc.identifier.issn | 2198-4182 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-75067-1_16 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/1561 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Intelligent check-in | en_US |
dc.subject | Face recognition | en_US |
dc.subject | Intelligent boarding | en_US |
dc.subject | Fuzzy z-ahp | en_US |
dc.subject | Fuzzy z-grey relational analysis | en_US |
dc.title | Selection of the Best Face Recognition System for Check in and Boarding Services | en_US |
dc.type | Book Part | en_US |
dc.identifier.doi | 10.1007/978-3-030-75067-1_16 | - |
dc.identifier.scopus | 2-s2.0-85114891441 | en_US |
dc.authorid | Duygu Sergi / 0000-0003-1636-0230 | - |
dc.identifier.scopusquality | Q3 | - |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.identifier.startpage | 361-384 | en_US |
dc.identifier.volume | 372 | en_US |
dc.department | Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
dc.relation.journal | Studies in Systems, Decision and Control | en_US |
dc.institutionauthor | Sergi, Duygu | - |
item.grantfulltext | embargo_20400101 | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.openairetype | Book Part | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.01. Department of Industrial Engineering | - |
Appears in Collections: | Endüstri Mühendisliği Bölümü Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
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selection.pdf Until 2040-01-01 | Book Chapter | 332.81 kB | Adobe PDF | View/Open Request a copy |
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