Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF

Veysel Çoban; Sezi Çevik Onar

doi:10.1007/978-3-030-51156-2_33

Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF

Veysel Çoban^*, Sezi Çevik Onar

^*Corresponding author for this work

Department of Industrial Engineering

Bilecik Seyh Edebali University

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

1 Citation (Scopus)

Abstract

Solar energy is the most important alternative and renewable energy source in meeting the increasing energy demand. Despite technological advances, solar energy systems have a high initial cost. Therefore, the installation of solar energy systems in the right place is of great importance for the return of high investment costs. The Hesitant Fuzzy Linguistic Term Set (HFLTS) is an important tool in integrating experts’ complex linguistic knowledge into decision-making process. In this study, the psychological orientations of the specialists are taken into consideration by using unbalanced HFLTS based on the score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions (Score-HeDLiSF) method. Unbalanced HFLTSs based Score-HeDLiSF is used in the Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) method developed by ORESTE method and alternative solar plants are evaluated.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	274-281
Number of pages	8
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_33
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

HFLTS
MULTIMOORA
Score-HeDLiSF
Solar power plant

UN SDGs

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

Access to Document

10.1007/978-3-030-51156-2_33

Cite this

Çoban, V., & Onar, S. Ç. (2021). Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 274-281). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_33

Çoban, Veysel ; Onar, Sezi Çevik. / Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 274-281 (Advances in Intelligent Systems and Computing).

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title = "Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF",

abstract = "Solar energy is the most important alternative and renewable energy source in meeting the increasing energy demand. Despite technological advances, solar energy systems have a high initial cost. Therefore, the installation of solar energy systems in the right place is of great importance for the return of high investment costs. The Hesitant Fuzzy Linguistic Term Set (HFLTS) is an important tool in integrating experts{\textquoteright} complex linguistic knowledge into decision-making process. In this study, the psychological orientations of the specialists are taken into consideration by using unbalanced HFLTS based on the score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions (Score-HeDLiSF) method. Unbalanced HFLTSs based Score-HeDLiSF is used in the Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) method developed by ORESTE method and alternative solar plants are evaluated.",

keywords = "HFLTS, MULTIMOORA, Score-HeDLiSF, Solar power plant",

author = "Veysel {\c C}oban and Onar, {Sezi {\c C}evik}",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

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language = "English",

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

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Çoban, V & Onar, SÇ 2021, Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 274-281, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_33

Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF. / Çoban, Veysel; Onar, Sezi Çevik.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 274-281 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

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

TY - GEN

T1 - Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF

AU - Çoban, Veysel

AU - Onar, Sezi Çevik

PY - 2021

Y1 - 2021

N2 - Solar energy is the most important alternative and renewable energy source in meeting the increasing energy demand. Despite technological advances, solar energy systems have a high initial cost. Therefore, the installation of solar energy systems in the right place is of great importance for the return of high investment costs. The Hesitant Fuzzy Linguistic Term Set (HFLTS) is an important tool in integrating experts’ complex linguistic knowledge into decision-making process. In this study, the psychological orientations of the specialists are taken into consideration by using unbalanced HFLTS based on the score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions (Score-HeDLiSF) method. Unbalanced HFLTSs based Score-HeDLiSF is used in the Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) method developed by ORESTE method and alternative solar plants are evaluated.

AB - Solar energy is the most important alternative and renewable energy source in meeting the increasing energy demand. Despite technological advances, solar energy systems have a high initial cost. Therefore, the installation of solar energy systems in the right place is of great importance for the return of high investment costs. The Hesitant Fuzzy Linguistic Term Set (HFLTS) is an important tool in integrating experts’ complex linguistic knowledge into decision-making process. In this study, the psychological orientations of the specialists are taken into consideration by using unbalanced HFLTS based on the score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions (Score-HeDLiSF) method. Unbalanced HFLTSs based Score-HeDLiSF is used in the Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) method developed by ORESTE method and alternative solar plants are evaluated.

KW - HFLTS

KW - MULTIMOORA

KW - Score-HeDLiSF

KW - Solar power plant

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DO - 10.1007/978-3-030-51156-2_33

M3 - Conference contribution

AN - SCOPUS:85088750183

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 274

EP - 281

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Çoban V, Onar SÇ. Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 274-281. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_33

Solar Energy Power Plant Investment Selection with Unbalanced Hesitant Fuzzy Linguistic MULTIMOORA Method Based Score-HeDLiSF

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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