Development of wind energy in the agricultural sector of Iran and investment priorities of the decision maker groups using artificial intelligence-based quantum hybrid picture fuzzy rough modelling

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorAbadi, Bijan
dc.contributor.authorTaşkan, Büşra
dc.contributor.authorKaratop, Buket
dc.date.accessioned2024-05-30T05:58:00Z
dc.date.available2024-05-30T05:58:00Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe main purpose of this study is to make evaluations for the indicators of wind energy investments in Iranian agricultural sector. For this purpose, a novel model is constructed that has three different stages. Firstly, expert choices are prioritized with artificial intelligence-based decision-making model. Secondly, performance indicators of the wind energy projects in the agricultural industry are weighted via quantum picture fuzzy rough sets-based M-SWARA. Thirdly, investment priority alternatives are ranked by considering the quantum picture fuzzy rough sets based VIKOR technique. The main contribution of this study is that artificial intelligence methodology is integrated with the fuzzy decision-making analysis. With the help of this analysis, experts can be prioritized according to their qualifications. According to the weighting results, it is identified that regulations play a crucial role for each group. On the other side, the ranking results indicate that storage solutions play the most crucial role for the improvements of the wind energy projects for Iranian agriculture industry.
dc.description.sponsorshipIberdrola, Innovation Middle East. Qatar University. Voltaat.en_US
dc.identifier.citationDinçer, H., Yüksel, S., Abadi, B., Taşkan, B. ve Karatop, B. (2024). Development of wind energy in the agricultural sector of Iran and investment priorities of the decision maker groups using artificial intelligence-based quantum hybrid picture fuzzy rough modelling. 8th IEEE International Energy Conference, ENERGYCON 2024, Doha, 4-7 March 2024. http://dx.doi.org/10.1109/ENERGYCON58629.2024.10488816
dc.identifier.doi10.1109/ENERGYCON58629.2024.10488816
dc.identifier.isbn9798350382150
dc.identifier.scopus2-s2.0-85191866897
dc.identifier.scopusqualityN/A
dc.identifier.urihttp://dx.doi.org/10.1109/ENERGYCON58629.2024.10488816
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12533
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.language.isoen
dc.relation.ispartof8th IEEE International Energy Conference, ENERGYCON 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAgriculture
dc.subjectArtificial Intelligence
dc.subjectFuzzy Decision-Making
dc.subjectWind Energy
dc.titleDevelopment of wind energy in the agricultural sector of Iran and investment priorities of the decision maker groups using artificial intelligence-based quantum hybrid picture fuzzy rough modelling
dc.typeConference Object

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