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dc.contributor.authorLiu, Wei
dc.contributor.authorDi̇nçer, Hasan
dc.contributor.authorEti, Serkan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2021-06-11T06:13:58Z
dc.date.available2021-06-11T06:13:58Z
dc.date.issued2021en_US
dc.identifier.citationLiu, W., Di̇nçer, H., Eti, S. ve Yüksel, S. (2021). Gaussian-based hybrid approach to Entropy for analyzing energy efficiency of emerging economies. Energy Reports, 7, 2501-2511. https://dx.doi.org/10.1016/j.egyr.2021.04.049en_US
dc.identifier.issn2352-4847
dc.identifier.urihttps://dx.doi.org/10.1016/j.egyr.2021.04.049
dc.identifier.urihttps://hdl.handle.net/20.500.12511/7128
dc.description.abstractThis study aims to evaluate energy efficiency in emerging economies. Within this context, a hybrid fuzzy multi-criteria decision-making (MCDM) model is generated. In this model, firstly 7 different criteria that can affect energy efficiency are identified with the help of a comprehensive literature review. After that, these criteria are weighted by considering Gaussian fuzzy Entropy methodology. In the next stage, emerging 7 (E7) countries are ranked regarding the performance of energy efficiency with Gaussian fuzzy the interactive multi-criteria decision-making (TODIM) approach. In the final stage, the criteria have also been evaluated by using fuzzy decision-making trial and evaluation laboratory (DEMATEL) method for robustness check. Similarly, the alternatives are also ranked by using technique for order preference by similarity to ideal solution (TOPSIS) to evaluate the coherency of the analysis results. Finally, the calculations are also made with triangular and trapezoidal fuzzy numbers to control the reliability of the proposed model. The findings indicate that economic development and technological competency are the main factors that influence energy efficiency. Moreover, it is also stated that Russia and Brazil are the most successful countries in energy efficiency whereas India and Turkey are in the last places. Therefore, these issues can be helpful to minimize the costs of energy usage for these countries.en_US
dc.description.sponsorshipPhilosophy and Social Science Planning Project of Guangdong Province, Chinaen_US
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC)en_US
dc.language.isoengen_US
dc.publisherElsevier Ltden_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEmerging Economiesen_US
dc.subjectEnergy Efficiencyen_US
dc.subjectFuzzy DEMATELen_US
dc.subjectFuzzy Entropyen_US
dc.subjectFuzzy TODIMen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectGaussian Fuzzy Numbersen_US
dc.titleGaussian-based hybrid approach to Entropy for analyzing energy efficiency of emerging economiesen_US
dc.typearticleen_US
dc.relation.journalEnergy Reportsen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-8072-031Xen_US
dc.authorid0000-0002-4791-4091en_US
dc.authorid0000-0002-9858-1266en_US
dc.identifier.volume7en_US
dc.identifier.startpage2501en_US
dc.identifier.endpage2511en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.egyr.2021.04.049en_US


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