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

^*Corresponding author for this work

Department of Industrial Engineering

Yildiz Technical University
Istanbul Technical University

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

20 Citations (Scopus)

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.

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	888-895
Number of pages	8
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_106
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.

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 15 Life on Land
SDG 17 Partnerships for the Goals

Keywords

Pythagorean fuzzy sets
Renewable energy assessment
WASPAS

Access to Document

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

Cite this

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; Vol. 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. editor / 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).

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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",

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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, vol. 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; Vol. 1029).

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

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, editors, 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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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