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

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Publisher	Springer Verlag
Pages	879-887
Number of pages	9
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_105
Publication status	Published - 2020
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1029
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/Territory	Turkey
City	Istanbul
Period	23/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Clean energy technologies
Decision making introduction
Pythagorean AHP
Pythagorean fuzzy sets

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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; Vol. 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. editor / 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.",

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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",

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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, vol. 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; Vol. 1029).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Karaşan, Ali

AU - Gündoğdu, Fatma Kutlu

AU - Kahraman, Cengiz

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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.

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KW - Decision making introduction

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KW - Pythagorean fuzzy sets

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PB - Springer Verlag

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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, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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