Artificial intelligence-based expert weighted quantum picture fuzzy rough sets and recommendation system for metaverse investment decision-making priorities

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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.authorEti, Serkan
dc.date.accessioned2025-06-12T06:18:15Z
dc.date.available2025-06-12T06:18:15Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThere should be some improvements to increase the performance of Metaverse investments. However, businesses need to focus on the most important actions to provide cost effectiveness in this process. In summary, a new study is needed in which a priority analysis is made for the performance indicators of Metaverse investments. Accordingly, this study aims to evaluate the main determinants of the performance of the metaverse investments. Within this context, a novel model is created that has four different stages. The first stage is related to the prioritizing the experts with artificial intelligence-based decision-making method. Secondly, missing evaluations are estimated by expert recommendation system. Thirdly, the criteria are weighted with Quantum picture fuzzy rough sets-based (QPFR) M-Step-wise Weight Assessment Ratio Analysis (SWARA). Finally, investment decision-making priorities are ranked by QPFR VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje). The main contribution of this study is the integration of the artificial intelligence methodology to the fuzzy decision-making approach for the purpose of computing the weights of the decision makers. Owing to this condition, the evaluations of these people are examined according to their qualifications. This situation has a positive contribution to make more effective evaluations. Organizational effectiveness is found to be the most important factor in improving the performance of metaverse investments. Similarly, it is also identified that it is important for businesses to ensure technological improvements in the development of Metaverse investments. On the other side, the ranking results indicate that regulatory framework is the most critical alternative in this regard.
dc.identifier.citationKou, G., Dinçer, H., Pamucar, D., Yüksel, S., Deveci, M. ve Eti, S. (2024). Artificial intelligence-based expert weighted quantum picture fuzzy rough sets and recommendation system for metaverse investment decision-making priorities. Artificial Intelligence Review, 57(10). http://dx.doi.org/10.1007/s10462-024-10905-0
dc.identifier.doi10.1007/s10462-024-10905-0
dc.identifier.issn0269-2821
dc.identifier.issn1573-7462
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85203271337
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s10462-024-10905-0
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12950
dc.identifier.volume57
dc.identifier.wosWOS:001306419000004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorEti, Serkan
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
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-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial Intelligence
dc.subjectCollaborative Filtering
dc.subjectFuzzy Decision-Making
dc.subjectInvestment Analysis
dc.subjectMetaverse
dc.subjectQuantum Picture Fuzzy Rough Set
dc.subjectRecommendation System
dc.titleArtificial intelligence-based expert weighted quantum picture fuzzy rough sets and recommendation system for metaverse investment decision-making priorities
dc.typeArticle

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