Multidimensional assessment of the European Energy Union: Integrating artificial intelligence and quantum fuzzy ranking approaches

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dc.contributor.authorLiu, Peide
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2026-04-10T13:20:13Z
dc.date.available2026-04-10T13:20:13Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe purpose of this study is to determine the significant indicators of European Energy Union policy. A novel artificial intelligence (AI)-enhanced and hybrid quantum fuzzy ranking approach are taken into consideration in this regard. There are three different stages in this hybrid model. The first stage includes the weighting the dimensions of the European energy union with AI-enhanced prioritization. The second stage consists of measuring the multidimensional performance for European energy union with artificial intelligence-enhanced ranking. In the final stage, the multidimensional performance for European energy union is evaluated by using quantum picture fuzzy rough sets based VIKOR methodology. The main contribution of this study is making a comparative evaluation with both artificial intelligence approach and fuzzy decision-making methodology. This situation provides an opportunity check the validity of the findings. In the analysis process, a novel artificial intelligence-based ranking methodology is proposed. Therefore, more effective evaluations can be conducted. The findings indicate that energy security, market functioning, and innovation have the best priorities. In case of maximum group utility, financial feasibility and technological infrastructure have the best ranking performance among the perspectives. The results with the highest maximum group utility are same with the priority results of the AI-enhanced ranking technique.
dc.identifier.citationLiu, P., Dinçer, H. ve Yüksel, S. (2025). Multidimensional assessment of the European Energy Union: Integrating artificial intelligence and quantum fuzzy ranking approaches. Applied Soft Computing, 171. http://dx.doi.org/10.1016/j.asoc.2025.112735
dc.identifier.doi10.1016/j.asoc.2025.112735
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85215840815
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.asoc.2025.112735
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13412
dc.identifier.volume171
dc.identifier.wosWOS:001409706400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
dc.language.isoen
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectArtificial Intelligence-Based Ranking
dc.subjectPicture Fuzzy Sets
dc.subjectQuantum Theory
dc.subjectRough Sets
dc.subjectVIKOR
dc.titleMultidimensional assessment of the European Energy Union: Integrating artificial intelligence and quantum fuzzy ranking approaches
dc.typeArticle

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