A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies

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dc.authorid0000-0002-6303-8386
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-4791-4091
dc.contributor.authorOflaz, Fikret
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.contributor.authorEti, Serkan
dc.date.accessioned2024-01-23T11:20:45Z
dc.date.available2024-01-23T11:20:45Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, Sosyal Bilimler Enstitüsü, İşletme Yönetimi Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Bilgisayar Programcılığı Ana Bilim Dalı
dc.description.abstractThis study aims to evaluate essential performance indicators of energy storage investments with a novel decision-making model. The first stage includes weighting the selected criteria with Spherical fuzzy TOPSIS-based DEMATEL, called TOP-DEMATEL. In the second stage, seven emerging countries are ranked based on the effectiveness of energy storage investments using ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS). RATGOS is a new ranking method proposed in this study to address the shortcomings of the existing methods by using geometric mean. The findings indicate that energy storage capacity is the most significant factor in improving energy storage investments in developing economies. Technological improvements are also important in this regard. It is strongly recommended that energy storage technologies need to be developed by conducting new research and development activities. Owing to new technological developments, more efficient batteries can be produced. These new products allow energy to be stored at higher capacity.
dc.identifier.citationOflaz, F., Yüksel, S., Dinçer, H. ve Eti, S. (2023). A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies. Decision Analytics Journal, 9. https://dx.doi.org/10.1016/j.dajour.2023.100345
dc.identifier.doi10.1016/j.dajour.2023.100345
dc.identifier.issn2772-6622
dc.identifier.scopus2-s2.0-85181872396
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1016/j.dajour.2023.100345
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12189
dc.identifier.volume9
dc.indekslendigikaynakScopus
dc.institutionauthorOflaz, Fikret
dc.institutionauthorYüksel, Serhat
dc.institutionauthorDinçer, Hasan
dc.institutionauthorEti, Serkan
dc.language.isoen
dc.publisherElsevier Inc.
dc.relation.ispartofDecision Analytics Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectClean Energy
dc.subjectEnergy Investments
dc.subjectEnergy Storage
dc.subjectRATGOS
dc.subjectTOP-DEMATEL
dc.titleA novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies
dc.typeArticle

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