Integer code series enhanced IT2 fuzzy decision support system with alpha cuts for the innovation adoption life cycle pattern recognition of renewable energy alternatives

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dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorZhao, Yiqing
dc.contributor.authorCheng, Fei
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2021-03-19T06:43:56Z
dc.date.available2021-03-19T06:43:56Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThis study aims to evaluate the innovation adoption performance of the renewable energy alternatives. Within this context, a new model is created that consists of two different stages. Firstly, the decision combinations of innovation adoption life cycle patterns are identified by considering integer code series. On the other side, in the second stage, the innovation adoption life cycle performance of the renewable energy alternatives is ranked. In this framework, interval type-2 (IT2) fuzzy technique for order preference by similarity to ideal solution (TOPSIS) methodology is taken into consideration based on alpha cut levels. Moreover, a comparative evaluation is also conducted by considering IT2 fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). It is identified that the analysis results are quite coherent and reliable. The findings demonstrate that solar energy is the most appropriate renewable energy type to make innovation. Additionally, wind and geothermal energies are also other significant renewable energy types that have a great innovation potential. However, it is also concluded that biomass and hydroelectric energy have lower importance in comparison with the others. Another important point is that the ranking results are quite similar for different alpha cuts. This condition indicates that the analysis results are coherent and reliable. It is obvious that making investment to solar energy alternatives provides opportunity to adopt technologic innovation more easily. Therefore, it is recommended that investors should give priority to solar energy projects so that it can be more possible to increase the efficiency and the profitability of the investments.
dc.identifier.citationZhao, Y., Cheng, F., Yüksel, S. ve Dinçer, H. (2021). Integer code series enhanced IT2 fuzzy decision support system with alpha cuts for the innovation adoption life cycle pattern recognition of renewable energy alternatives. IEEE Access, 9, 34906-34920. https://dx.doi.org/10.1109/ACCESS.2021.3060109
dc.identifier.doi10.1109/ACCESS.2021.3060109
dc.identifier.endpage34920
dc.identifier.issn2169-3536
dc.identifier.scopusqualityQ1
dc.identifier.startpage34906
dc.identifier.urihttps://dx.doi.org/10.1109/ACCESS.2021.3060109
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6631
dc.identifier.volume9
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Institute of Electrical and Electronics Engineers Inc
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRenewable Energy Sources
dc.subjectTechnological Innovation
dc.subjectInvestment
dc.subjectFuzzy Sets
dc.subjectStability Analysis
dc.subjectCompanies
dc.subjectSolar Energy
dc.subjectRenewable Energy
dc.subjectInnovation Potential
dc.subjectInteger Code Series
dc.subjectIT2 Fuzzy Sets
dc.subjectAlpha Cuts
dc.subjectTOPSIS
dc.subjectVIKOR
dc.titleInteger code series enhanced IT2 fuzzy decision support system with alpha cuts for the innovation adoption life cycle pattern recognition of renewable energy alternatives
dc.typeArticle

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