Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy

Nurdan Tüysüz; Cengiz Kahraman

doi:10.1007/978-3-031-39774-5_40

Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy

Nurdan Tüysüz^*, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

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

2 Citations (Scopus)

Abstract

In this study, picture fuzzy sets are expanded using Z-fuzzy numbers that can model reliability information in addition to the restrictive judgments of experts. Then, the Analytic Hierarchy Process (AHP) method, which is one of the most commonly used multi-criteria decision making methods, is extended to the Picture Fuzzy Z-AHP method to create a more inclusive and reliable pairwise comparison structure for decision makers. An illustrative example for the solar energy panel selection problem is presented to demonstrate the practicality of the proposed method. Finally, a comparative analysis is performed to demonstrate the effects of reliability information on the results, which also justifies the importance of considering reliability information.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	337-345
Number of pages	9
ISBN (Print)	9783031397738
DOIs	https://doi.org/10.1007/978-3-031-39774-5_40
Publication status	Published - 2023
Event	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	758 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/Territory	Turkey
City	Istanbul
Period	22/08/23 → 24/08/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

AHP
MCDM
Picture Fuzzy Sets
Z-fuzzy numbers

Access to Document

10.1007/978-3-031-39774-5_40

Cite this

Tüysüz, N., & Kahraman, C. (2023). Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 337-345). (Lecture Notes in Networks and Systems; Vol. 758 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39774-5_40

Tüysüz, Nurdan ; Kahraman, Cengiz. / Picture Fuzzy Z-AHP : Application to Panel Selection of Solar Energy. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 337-345 (Lecture Notes in Networks and Systems).

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abstract = "In this study, picture fuzzy sets are expanded using Z-fuzzy numbers that can model reliability information in addition to the restrictive judgments of experts. Then, the Analytic Hierarchy Process (AHP) method, which is one of the most commonly used multi-criteria decision making methods, is extended to the Picture Fuzzy Z-AHP method to create a more inclusive and reliable pairwise comparison structure for decision makers. An illustrative example for the solar energy panel selection problem is presented to demonstrate the practicality of the proposed method. Finally, a comparative analysis is performed to demonstrate the effects of reliability information on the results, which also justifies the importance of considering reliability information.",

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author = "Nurdan T{\"u}ys{\"u}z and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

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doi = "10.1007/978-3-031-39774-5_40",

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Tüysüz, N & Kahraman, C 2023, Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, vol. 758 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 337-345, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39774-5_40

Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy. / Tüysüz, Nurdan; Kahraman, Cengiz.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 337-345 (Lecture Notes in Networks and Systems; Vol. 758 LNNS).

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

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AU - Tüysüz, Nurdan

AU - Kahraman, Cengiz

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N2 - In this study, picture fuzzy sets are expanded using Z-fuzzy numbers that can model reliability information in addition to the restrictive judgments of experts. Then, the Analytic Hierarchy Process (AHP) method, which is one of the most commonly used multi-criteria decision making methods, is extended to the Picture Fuzzy Z-AHP method to create a more inclusive and reliable pairwise comparison structure for decision makers. An illustrative example for the solar energy panel selection problem is presented to demonstrate the practicality of the proposed method. Finally, a comparative analysis is performed to demonstrate the effects of reliability information on the results, which also justifies the importance of considering reliability information.

AB - In this study, picture fuzzy sets are expanded using Z-fuzzy numbers that can model reliability information in addition to the restrictive judgments of experts. Then, the Analytic Hierarchy Process (AHP) method, which is one of the most commonly used multi-criteria decision making methods, is extended to the Picture Fuzzy Z-AHP method to create a more inclusive and reliable pairwise comparison structure for decision makers. An illustrative example for the solar energy panel selection problem is presented to demonstrate the practicality of the proposed method. Finally, a comparative analysis is performed to demonstrate the effects of reliability information on the results, which also justifies the importance of considering reliability information.

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 22 August 2023 through 24 August 2023

ER -

Tüysüz N, Kahraman C. Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editors, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 337-345. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39774-5_40

Picture Fuzzy Z-AHP: Application to Panel Selection of Solar Energy

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Keywords

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