Golden cut-oriented q-rung orthopair fuzzy decision-making approach to evaluation of renewable energy alternatives for microgeneration system investments

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0001-6483-4547
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-0068-0048
dc.authorscopusid55567227600
dc.authorscopusid57712522900
dc.authorscopusid57190620397
dc.authorscopusid55734704100
dc.authorwosidGQK-3154-2022
dc.authorwosidEKJ-9710-2022
dc.authorwosidGQM-6296-2022
dc.authorwosidDXG-9115-2022
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorAksoy, Tamer
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorAksoy, Tamer
dc.contributor.authorDinçer, Hasan
dc.contributor.authorAksoy, Tamer
dc.contributor.authorYüksel, Serhat
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2022-08-02T08:31:24Z
dc.date.available2022-08-02T08:31:24Z
dc.date.issued2022
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractThis study aims to find an appropriate system for microgeneration energy investments and identify optimal renewable energy alternatives for the effectiveness of these projects. In this context, a model is constructed by multi stepwise weight assessment ratio analysis (M-SWARA) and technique for order preference by similarity to ideal solution (TOPSIS) with q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. At the first stage, five different systems are weighted for the effectiveness of the microgeneration energy investments. Secondly, four different renewable energy alternatives are ranked regarding the performance of these projects. In addition, a comparative analysis is also implemented with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The findings are the same in all different fuzzy sets that demonstrates the reliability of the findings. It is determined that grid-connected with battery backup is the most important system choice. On the other hand, solar energy is the most appropriate alternative for microgeneration system investments. Grid-connected system should be implemented for the performance of the microgeneration projects. Hence, providing a sustainable access to the electricity can be possible. Sufficient amount of electricity may not be obtained from wind and solar energy because of the climate changes. In this process, grid-connected system can handle this problem effectively.
dc.identifier.citationDinçer, H., Aksoy, T., Yüksel, S. ve Hacıoğlu, Ü. (2022). Golden cut-oriented q-rung orthopair fuzzy decision-making approach to evaluation of renewable energy alternatives for microgeneration system investments. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/2261166
dc.identifier.doi10.1155/2022/2261166
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.issue2022
dc.identifier.scopus2-s2.0-85134477067
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1155/2022/2261166
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1860
dc.identifier.wosWOS:000842707400005
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAksoy, Tamer
dc.institutionauthorHacıoğlu, Ümit
dc.institutionauthorDinçer, Hasan
dc.institutionauthorid0000-0001-6483-4547
dc.institutionauthorid0000-0002-0068-0048
dc.language.isoen
dc.publisherHindawi
dc.relation.ihupublicationcategory116
dc.relation.ispartofMathematical Problems in Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMicrogeneration System Investments
dc.subjectq-ROFSs
dc.subjectQ-Rung Orthopair Fuzzy
dc.subjectDecision-Making Approach
dc.subjectRenewable Energy
dc.titleGolden cut-oriented q-rung orthopair fuzzy decision-making approach to evaluation of renewable energy alternatives for microgeneration system investments
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isAuthorOfPublicationbbc73b61-a694-4832-936e-e3747e3f0cf6
relation.isAuthorOfPublication.latestForDiscoveryd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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