Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey

Esra Ilbahar; Selcuk Cebi; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_106

Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey

Esra Ilbahar^*, Selcuk Cebi, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

18 Atıf (Scopus)

Özet

Effective exploitation of renewable energy sources is a fundamental part of sustainable development strategies of countries. A comprehensive assessment of renewable energy sources is required to ensure maximum utilization of resources. The assessment of renewable energy alternatives is a complex problem since many criteria, even some of them are conflicting, must to be simultaneously taken into consideration. Pythagorean fuzzy sets are able to better represent uncertainty and impreciseness in an evaluation process by providing a larger domain for decision makers to express their opinions. Therefore, this study aims at assessing alternative renewable energy sources by using interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of interval-valued intuitionistic WASPAS and crisp WASPAS methods. It is concluded that bioenergy is the best renewable energy alternative for Turkey.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	888-895
Sayfa sayısı	8
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_106
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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Belgeye Erişim

10.1007/978-3-030-23756-1_106

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ilbahar, E., Cebi, S., & Kahraman, C. (2020). Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 888-895). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_106

Ilbahar, Esra ; Cebi, Selcuk ; Kahraman, Cengiz. / Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method : A case study of Turkey. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 888-895 (Advances in Intelligent Systems and Computing).

@inproceedings{b676d7e9a31240119380fb966033e06e,

title = "Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey",

abstract = "Effective exploitation of renewable energy sources is a fundamental part of sustainable development strategies of countries. A comprehensive assessment of renewable energy sources is required to ensure maximum utilization of resources. The assessment of renewable energy alternatives is a complex problem since many criteria, even some of them are conflicting, must to be simultaneously taken into consideration. Pythagorean fuzzy sets are able to better represent uncertainty and impreciseness in an evaluation process by providing a larger domain for decision makers to express their opinions. Therefore, this study aims at assessing alternative renewable energy sources by using interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of interval-valued intuitionistic WASPAS and crisp WASPAS methods. It is concluded that bioenergy is the best renewable energy alternative for Turkey.",

keywords = "Pythagorean fuzzy sets, Renewable energy assessment, WASPAS",

author = "Esra Ilbahar and Selcuk Cebi and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_106",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "888--895",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

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Ilbahar, E, Cebi, S & Kahraman, C 2020, Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 888-895, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_106

Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey. / Ilbahar, Esra; Cebi, Selcuk; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 888-895 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

AU - Ilbahar, Esra

AU - Cebi, Selcuk

AU - Kahraman, Cengiz

PY - 2020

Y1 - 2020

N2 - Effective exploitation of renewable energy sources is a fundamental part of sustainable development strategies of countries. A comprehensive assessment of renewable energy sources is required to ensure maximum utilization of resources. The assessment of renewable energy alternatives is a complex problem since many criteria, even some of them are conflicting, must to be simultaneously taken into consideration. Pythagorean fuzzy sets are able to better represent uncertainty and impreciseness in an evaluation process by providing a larger domain for decision makers to express their opinions. Therefore, this study aims at assessing alternative renewable energy sources by using interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of interval-valued intuitionistic WASPAS and crisp WASPAS methods. It is concluded that bioenergy is the best renewable energy alternative for Turkey.

AB - Effective exploitation of renewable energy sources is a fundamental part of sustainable development strategies of countries. A comprehensive assessment of renewable energy sources is required to ensure maximum utilization of resources. The assessment of renewable energy alternatives is a complex problem since many criteria, even some of them are conflicting, must to be simultaneously taken into consideration. Pythagorean fuzzy sets are able to better represent uncertainty and impreciseness in an evaluation process by providing a larger domain for decision makers to express their opinions. Therefore, this study aims at assessing alternative renewable energy sources by using interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of interval-valued intuitionistic WASPAS and crisp WASPAS methods. It is concluded that bioenergy is the best renewable energy alternative for Turkey.

KW - Pythagorean fuzzy sets

KW - Renewable energy assessment

KW - WASPAS

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DO - 10.1007/978-3-030-23756-1_106

M3 - Conference contribution

AN - SCOPUS:85069454691

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 888

EP - 895

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

Y2 - 23 July 2019 through 25 July 2019

ER -

Ilbahar E, Cebi S, Kahraman C. Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 888-895. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_106

Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: A case study of Turkey

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