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 | |
| gdc.bip.popularityclass | C5 | |
| 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 | |
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| gdc.oaire.isgreen | false | |
| 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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