Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets

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dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorPinter, Gabor
dc.contributor.authorMikhaylov, Alexey
dc.date.accessioned2025-12-05T11:51:16Z
dc.date.available2025-12-05T11:51:16Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractSignificant improvements should be made to increase the market potential of crypto mining. However, it is not financially feasible to make too many improvements because all actions lead to cost increases. In this context, it is necessary to determine the factors that most affect this process. Accordingly, the purpose of this study is to understand the main indicators that can improve the market potential of crypto mining activities. Therefore, the main research question of this study is to identify which factors should be prioritized while generating appropriate strategies to increase these activities. In this context, a new model has been constructed to answer this question. First, significant indicators are identified based on the evaluation of the literature. After that, these factors are weighted via quantum picture fuzzy rough set-based M-SWARA. The main contribution of this study is the generation of a new decision-making model to understand the key issues related to the market potential of crypto mining activities. The M-SWARA model is taken into consideration for criteria weighting. Owing to this issue, the causal relationships between the items can be identified. The findings demonstrate that reducing energy costs emerges as the most important factor for improving the market potential of the crypto mining industry. Furthermore, technological developments also play an important role in this regard.
dc.identifier.citationDinçer, H., Yüksel, S., Pinter, G. ve Mikhaylov, A. (2024). Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets. Blockchain: Research and Applications, 5(4). http://dx.doi.org/10.1016/j.bcra.2024.100230
dc.identifier.doi10.1016/j.bcra.2024.100230
dc.identifier.issn2096-7209
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85211757099
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.bcra.2024.100230
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13288
dc.identifier.volume5
dc.identifier.wosWOS:001386234700001
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.ispartofBlockchain: Research and Applications
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.subjectBitcoin
dc.subjectCrypto Mining
dc.subjectDecision-Making
dc.subjectFinancial Innovation
dc.subjectMarket Potential
dc.titleUnderstanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets
dc.typeArticle

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