Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology

Ali Karaşan; Fatma Kutlu Gündoğdu; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_105

Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology

Ali Karaşan^*, Fatma Kutlu Gündoğdu, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

9 Atıf (Scopus)

Özet

Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and deployment by societies. Governments in many countries aim to increase the clean energy technologies and offer incentives to increase tendency on that sector. One of the reasons of these incentives is to prevent the global warming. For example, 30% of global electricity can be produced from wind and solar power in the long term, without adding to the total cost of reaching a low-carbon future. In this study, we use Pythagorean fuzzy AHP for the selection of the most appropriate clean energy technology for the Marmara Region.

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	879-887
Sayfa sayısı	9
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_105
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

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???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_105

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Karaşan, A., Gündoğdu, F. K., & Kahraman, C. (2020). Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. 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. 879-887). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_105

Karaşan, Ali ; Gündoğdu, Fatma Kutlu ; Kahraman, Cengiz. / Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. 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. 879-887 (Advances in Intelligent Systems and Computing).

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title = "Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology",

abstract = "Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and deployment by societies. Governments in many countries aim to increase the clean energy technologies and offer incentives to increase tendency on that sector. One of the reasons of these incentives is to prevent the global warming. For example, 30% of global electricity can be produced from wind and solar power in the long term, without adding to the total cost of reaching a low-carbon future. In this study, we use Pythagorean fuzzy AHP for the selection of the most appropriate clean energy technology for the Marmara Region.",

keywords = "Clean energy technologies, Decision making introduction, Pythagorean AHP, Pythagorean fuzzy sets",

author = "Ali Kara{\c s}an and G{\"u}ndoğdu, {Fatma Kutlu} 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_105",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "879--887",

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

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Karaşan, A, Gündoğdu, FK & Kahraman, C 2020, Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. 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. 879-887, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_105

Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. / Karaşan, Ali; Gündoğdu, Fatma Kutlu; 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. 879-887 (Advances in Intelligent Systems and Computing; Hac. 1029).

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

TY - GEN

T1 - Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology

AU - Karaşan, Ali

AU - Gündoğdu, Fatma Kutlu

AU - Kahraman, Cengiz

PY - 2020

Y1 - 2020

N2 - Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and deployment by societies. Governments in many countries aim to increase the clean energy technologies and offer incentives to increase tendency on that sector. One of the reasons of these incentives is to prevent the global warming. For example, 30% of global electricity can be produced from wind and solar power in the long term, without adding to the total cost of reaching a low-carbon future. In this study, we use Pythagorean fuzzy AHP for the selection of the most appropriate clean energy technology for the Marmara Region.

AB - Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and deployment by societies. Governments in many countries aim to increase the clean energy technologies and offer incentives to increase tendency on that sector. One of the reasons of these incentives is to prevent the global warming. For example, 30% of global electricity can be produced from wind and solar power in the long term, without adding to the total cost of reaching a low-carbon future. In this study, we use Pythagorean fuzzy AHP for the selection of the most appropriate clean energy technology for the Marmara Region.

KW - Clean energy technologies

KW - Decision making introduction

KW - Pythagorean AHP

KW - Pythagorean fuzzy sets

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U2 - 10.1007/978-3-030-23756-1_105

DO - 10.1007/978-3-030-23756-1_105

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AN - SCOPUS:85069440113

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 879

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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

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

Y2 - 23 July 2019 through 25 July 2019

ER -

Karaşan A, Gündoğdu FK, Kahraman C. Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. 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. 879-887. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_105

Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology

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