Publication: Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods
dc.contributor.author | Büyüközkan, G. | |
dc.contributor.author | Feyzioğlu, O. | |
dc.contributor.author | Havle, Celal Alpay | |
dc.contributor.department | Professional Flight Program | |
dc.contributor.editor | Kahraman, C. | |
dc.contributor.editor | Cebi, S. | |
dc.contributor.editor | Onar, S. C. | |
dc.contributor.editor | Oztaysi, B. | |
dc.contributor.editor | Tolga, A. C. | |
dc.contributor.editor | Sari, I. U. | |
dc.contributor.ozuauthor | HAVLE, Celal Alpay | |
dc.date.accessioned | 2021-10-12T05:42:15Z | |
dc.date.available | 2021-10-12T05:42:15Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Recently, emerging digital technologies have launched digital transformation, and it has become a factor that determines the competitiveness of companies, their performance, and digital sustainability. At this point, the aviation industry is one of the areas where digital transformation applications are visible. Both airlines and airports have initiated their digital transformation processes. Just like industry 4.0, the period of aviation 4.0 including airline 4.0 and airport 4.0 has started. Hence, the success of the companies in the aviation industry has become extremely important for their sustainability in terms of aviation 4.0. The aim of this study is then to analyze the success factors of aviation 4.0. The factors are obtained via the literature survey and expert opinions. An integrated approach is used based on intuitionistic fuzzy multi-criteria decision making (IF MCDM) techniques. The weights of the success criteria are calculated by using the IF AHP (Analytic Hierarchy Process). IF VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method is used for selection of the most successful company among alternatives. IF helps to eliminate the complexity of real-life problems, an uncertainty of decision-making processes and it allows us to consider hesitation and intuition of decision makers. | en_US |
dc.description.sponsorship | Galatasaray Üniversitesi | |
dc.identifier.doi | 10.1007/978-3-030-23756-1_73 | en_US |
dc.identifier.endpage | 606 | en_US |
dc.identifier.isbn | 978-303023755-4 | |
dc.identifier.issn | 2194-5357 | en_US |
dc.identifier.scopus | 2-s2.0-85069490279 | |
dc.identifier.startpage | 598 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/7633 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-23756-1_73 | |
dc.identifier.volume | 1029 | en_US |
dc.language.iso | eng | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, Part of the Advances in Intelligent Systems and Computing book series (AISC) | |
dc.relation.publicationcategory | International | |
dc.rights | restrictedAccess | |
dc.subject.keywords | Aviation 4.0 | en_US |
dc.subject.keywords | Digital transformation | en_US |
dc.subject.keywords | IF AHP | en_US |
dc.subject.keywords | IF VIKOR | en_US |
dc.subject.keywords | IF MCDM | en_US |
dc.subject.keywords | Success factors | en_US |
dc.title | Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods | en_US |
dc.type | conferenceObject | en_US |
dc.type.subtype | Conference paper | |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | a868c413-68bb-4e7a-9ef0-9fe4980449d3 | |
relation.isOrgUnitOfPublication.latestForDiscovery | a868c413-68bb-4e7a-9ef0-9fe4980449d3 |
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