Selection of the Best Face Recognition System for Check in and Boarding Services

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.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.
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 ‌
dc.identifier.doi 10.1007/978-3-030-75067-1_16
dc.identifier.issn 2198-4182
dc.identifier.scopus 2-s2.0-85114891441
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.language.iso en
dc.publisher Springer
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Intelligent check-in
dc.subject Face recognition
dc.subject Intelligent boarding
dc.subject Fuzzy z-ahp
dc.subject Fuzzy z-grey relational analysis
dc.title Selection of the Best Face Recognition System for Check in and Boarding Services
dc.type Book Part
dspace.entity.type Publication
gdc.author.id Duygu Sergi / 0000-0003-1636-0230
gdc.author.institutional Sergi, Duygu
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
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gdc.coar.access metadata only access
gdc.coar.type text::book::book part
gdc.description.department Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
gdc.description.publicationcategory Kitap Bölümü - Uluslararası
gdc.description.scopusquality Q3
gdc.description.startpage 361-384
gdc.description.volume 372
gdc.identifier.openalex W3197480261
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.8464255E-9
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gdc.oaire.popularity 1.9114976E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration International
gdc.openalex.fwci 0.70902318
gdc.openalex.normalizedpercentile 0.71
gdc.opencitations.count 0
gdc.plumx.mendeley 7
gdc.plumx.scopuscites 3
gdc.publishedmonth Ağustos
gdc.relation.journal Studies in Systems, Decision and Control
gdc.scopus.citedcount 3
gdc.virtual.author Sergi, Duygu
gdc.wos.publishedmonth Ağustos
gdc.yokperiod YÖK - 2021-22
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