Integrating data mining and fuzzy decision-making techniques for analyzing the key minimizing factors of carbon emissions

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-4791-4091
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-2288-8886
dc.contributor.authorDinçer, Hasan
dc.contributor.authorEti, Serkan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorÖzdemir, Sümeyye
dc.contributor.authorYılmaz, Ahmet Enes
dc.contributor.authorErgün, Edanur
dc.date.accessioned2023-11-24T07:00:02Z
dc.date.available2023-11-24T07:00:02Z
dc.date.issued2023
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.abstractThe purpose of this study is to identify the key factors to minimize carbon emission problem. Within this framework, an examination has been made by considering both data mining and fuzzy decision-making techniques. In the analysis process, N-gram methodology is implemented to the abstracts of 1711 studies in the 'Sciencedirect' platform and five different indicators are selected. In the proposed decision-making model, firstly, selected criteria are weighted by Spherical fuzzy CRITIC. Secondly, E7 economies are ranked with RATGOS. Thirdly, a sensitivity analysis is performed, and a comparative evaluation is conducted by MAIRCA technique. The most important originality of this proposed model is generating a new technique named RATGOS. In the literature, there are various decision-making models to rank the alternatives. However, lots of researchers criticized these approaches due to some reasons, such as using Euclidean distance by calculating the distances to the negative ideal solutions. Thus, it is seen that there is a need for a new technique that considers geometric mean in proportional concepts. To reach this objective, the RATGOS technique is introduced so that it can be possible to reach more accurate results. The findings indicate that renewable energy usage is the most critical item to overcome carbon emission problem. Therefore, some measures should be taken to increase renewable energy investments. First, governments can offer incentives for renewable energy investments. These incentives may include various incentives such as tax exemptions and low interest loans. Moreover, more research and development works are required for the development of renewable energy technologies. In this way, it can make renewable energy technologies more effective and efficient. For future research directions, an evaluation can be carried out for developed countries because carbon emissions problem also plays a crucial role for the social and economic improvements of these economies.
dc.identifier.citationDinçer, H., Eti, S., Yüksel, S., Özdemir, S., Yılmaz, A. E. ve Ergün, E. (2023). Integrating data mining and fuzzy decision-making techniques for analyzing the key minimizing factors of carbon emissions. Journal of Intelligent and Fuzzy Systems, 45(5), 7317-7333. https://dx.doi.org/10.3233/JIFS-232303
dc.identifier.doi10.3233/JIFS-232303
dc.identifier.endpage7333
dc.identifier.issn1064-1246
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85176612671
dc.identifier.scopusqualityQ2
dc.identifier.startpage7317
dc.identifier.urihttps://dx.doi.org/10.3233/JIFS-232303
dc.identifier.urihttps://hdl.handle.net/20.500.12511/11870
dc.identifier.volume45
dc.identifier.wos001099536200009en_US
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorEti, Serkan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorÖzdemir, Sümeyye
dc.language.isoen
dc.publisherIOS Press BV
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCarbon Emission
dc.subjectCRITIC
dc.subjectRATGOS
dc.subjectSpherical Fuzzy Sets
dc.subjectSustainable Economic Development
dc.subjectTOPSIS
dc.titleIntegrating data mining and fuzzy decision-making techniques for analyzing the key minimizing factors of carbon emissions
dc.typeArticle

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