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A neuro decision-making approach for prioritizing circular economy criteria in sustainable smart cities

dc.contributor.authorKou, Gang
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorAlotaibi, Fahd
dc.date.accessioned2025-11-11T11:16:56Z
dc.date.available2025-11-11T11:16:56Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractSustainable cities are crucial in establishing effective waste management systems and minimizing environmental pollution. For cities to be sustainable, different aspects need to be considered, such as technological development, clean energy usage, and energy efficiency. However, taking the most important actions is essential because of the very high cost that will arise, and this situation causes countries to have budget deficit problems. In other words, there is a significant need for a new study that makes a priority analysis with respect to the circular economy-based criteria for smart cities. Accordingly, this study aims to identify significant factors to improve sustainable cities using a novel decision-making model. First, essential determinants of the smart cities were evaluated with the decision-making trial and evaluation laboratory (DEMATEL) technique based on quantum spherical fuzzy sets (QASH) and facial expressions of the decision-makers. Second, smart investment choices for sustainable cities were ranked according to the technique for order preference by similarity to ideal solution (TOPSIS) approach. In addition, comparative ranking results were constructed together with sensitivity analysis. The ranking results of the extended VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are compared with the extended TOPSIS results and their sensitivity analysis results. The main contribution of this study is that appropriate priority strategies were determined by using an original methodology to have sustainable cities. A new methodology is developed in this study by the name of neuro decision-making. According to the comparative evaluation and sensitivity analysis, the findings are found as reliable and relevant. Resource efficiency is the most critical factor in improving sustainable cities. Constructing sustainable buildings is the most appropriate strategy for increasing smart cities. Necessary actions should be taken to minimize unconscious water and energy use. New technological developments need to be quickly adapted to businesses. In this way, it would be possible to perform the same work amount using less energy and water. For this purpose, it is important both to provide the necessary training and to emphasize the importance of these issues in television advertisements.
dc.identifier.citationKou, G., Dinçer, H., Yüksel, S. ve Alotaibi, F. (2024). A neuro decision-making approach for prioritizing circular economy criteria in sustainable smart cities. Heliyon, 10(22). http://dx.doi.org/10.1016/j.heliyon.2024.e40354
dc.identifier.doi10.1016/j.heliyon.2024.e40354
dc.identifier.issn2405-8440
dc.identifier.issue22
dc.identifier.pmid39624319
dc.identifier.scopus2-s2.0-85208966857
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.heliyon.2024.e40354
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13190
dc.identifier.volume10
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
dc.language.isoen
dc.relation.ispartofHeliyon
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.subjectCircular Economy
dc.subjectFacial Expression
dc.subjectNeuro Decision-Making
dc.subjectSmart Investment Choices
dc.subjectSustainable Cities
dc.titleA neuro decision-making approach for prioritizing circular economy criteria in sustainable smart cities
dc.typeArticle

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