Human–computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the metaverse

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dc.contributor.authorKou, Gang
dc.contributor.authorDinçer, Hasan
dc.contributor.authorPamucar, Dragan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorOlaru, Gabriela Oana
dc.contributor.authorEti, Serkan
dc.date.accessioned2025-06-12T05:58:15Z
dc.date.available2025-06-12T05:58:15Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu
dc.departmentİstanbul Medipol Üniversitesi, İletişim Fakültesi
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractNecessary improvements should be made to increase the effectiveness of non-fungible tokens on the Metaverse platform without having extra costs. For the purpose of handing this process more efficiently, there is a need to determine the most important factors for a more successful integration of non-fungible tokens into this platform. Accordingly, this study aims to determine the appropriate the identity management choices of non-fungible tokens in the Metaverse. There are three different stages in the proposed novel fuzzy decision-making model. The first stage includes prioritizing the expert choices with artificial intelligence-based decision-making methodology. Secondly, the criteria sets for managing non-fungible tokens are weighted by using Quantum picture fuzzy rough sets-based M-SWARA methodology. Finally, the identity management choices regarding non-fungible tokens in the Metaverse are ranked with Quantum picture fuzzy rough sets oriented VIKOR. The main contribution of this study is that artificial intelligence methodology is integrated to the fuzzy decision-making modelling to differentiate the experts. With the help of this situation, it can be possible to create clusters for the experts. Hence, the opinions of experts outside this group may be excluded from the scope. It has been determined that security must be ensured first to increase the use of non-fungible tokens on the Metaverse platform. Similarly, technological infrastructure must also be sufficient to achieve this objective. Moreover, biometrics for unique identification has the best ranking performance among the alternatives. Privacy with authentication plays also critical role for the effectiveness of this process.
dc.identifier.citationKou, G., Dinçer, H., Pamucar, D., Yüksel, S., Deveci, M., Olaru, G. O. ... Eti, S. (2024). Human–computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the metaverse. Artificial Intelligence Review, 57(10). http://dx.doi.org/10.1007/s10462-024-10875-3
dc.identifier.doi10.1007/s10462-024-10875-3
dc.identifier.issn0269-2821
dc.identifier.issn1573-7462
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85203287446
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s10462-024-10875-3
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12949
dc.identifier.volume57
dc.identifier.wosWOS:001306419000008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorOlaru, Gabriela Oana
dc.institutionauthorEti, Serkan
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
dc.institutionauthorid0000-0001-9486-3349
dc.institutionauthorid0000-0002-4791-4091
dc.language.isoen
dc.relation.ispartofArtificial Intelligence Review
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligence
dc.subjectM-SWARA
dc.subjectMetaverse
dc.subjectNon-Fungible Tokens
dc.subjectQuantum Picture Fuzzy Rough Sets
dc.titleHuman–computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the metaverse
dc.typeArticle

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