Social Acceptability Assessment of Renewable Energy Policies: An Integrated Approach Based on IVPF BOCR and IVIF AHP

Esra Ilbahar*, Selcuk Cebi, Cengiz Kahraman

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

The use of renewable energy, which is more encouraged together with increasing sustainability and environmental concerns, highlighted the issue of energy technology transformation. Social acceptance is a highly significant component of renewable energy technology implementation since it can affect the time and effort required to implement a policy or technology and its effectiveness can depend on public participation. It is crucial to know the perspective of public before making renewable energy policies to be able to take necessary actions that might positively affect the acceptance of such policies. Therefore, in this study, after factors affecting social acceptance are categorized as benefits, opportunities, costs and risks, the alternative policies are prioritized with respect to these criteria by using an approach based on interval-valued intuitionistic fuzzy (IVIF) AHP and interval-valued Pythagorean fuzzy Benefits, Opportunities, Costs, Risks (BOCR) analysis. The results obtained from four total score functions are compared and Option 4 is selected to be the best policy in terms of social acceptability.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditörlerCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar93-100
Sayfa sayısı8
ISBN (Basılı)9783030855765
DOI'lar
Yayın durumuYayınlandı - 2022
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Süre: 24 Ağu 202126 Ağu 2021

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim308
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2021
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot24/08/2126/08/21

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Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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