Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts

dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorZhou, Pengfei
dc.contributor.authorLuo, Jie
dc.contributor.authorCheng, Fei
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2021-05-20T06:50:54Z
dc.date.available2021-05-20T06:50:54Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe aim of this study is to identify significant risks for the renewable energy investment projects. In this regard, a novel hybrid multi-criteria decision-making (MCDM) model has been proposed based on hesitant linguistic terms and alpha level sets. This model has three different phases. Firstly, the dimensions and criteria are defined regarding the renewable energy investment risks. In the second part, the significance levels of these factors are calculated with the help of hesitant interval type-2 fuzzy (IT2F) DEMATEL-based ANP (DANP). Finally, the types of investors by the risk awareness entitled high, moderate, and low are ranked while using hesitant IT2F QUALIFLEX. In all analysis, alpha level sets are taken into consideration. The results demonstrate that organizational effectiveness and cost efficiency are the most prominent factors for renewable energy investment. On the other side, moderate risk should be taken in these projects. It is recommended that the departments within the company should be compatible with each other for the renewable energy investment projects to be more successful. For this purpose, necessary actions should be taken to improve communication between departments. Another important point is that cost control should be done effectively to contribute to the performance of the renewable energy investment projects.
dc.identifier.citationZhou, P., Luo, J., Cheng, F., Yüksel, S. ve Dinçer, H. (2021). Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts. Energy, 224. https://dx.doi.org/10.1016/j.energy.2021.120184
dc.identifier.doi10.1016/j.energy.2021.120184
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://dx.doi.org/10.1016/j.energy.2021.120184
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6851
dc.identifier.volume224
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectRenewable Energy Investment
dc.subjectRisk Analysis
dc.subjectDANP
dc.subjectQUALIFLEX
dc.subjectIT2 Fuzzy Logic
dc.titleAnalysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts
dc.typeArticle

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