Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision

Veysel Çoban; Sezi Çevik Onar

doi:10.1007/978-3-030-23756-1_121

Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision

Veysel Çoban^*, Sezi Çevik Onar

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Bozok University

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

2 Atıf (Scopus)

Özet

The linguistic terms used in expressing thoughts more naturally are used in many scientific studies, especially decision making. In order to obtain better results than linguistic expressions, studies are carried out to develop the hesitant fuzzy linguistic term sets (HFLTSs), which are used as the main tools for expressing and evaluating linguistic terms. A new example of these studies, the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) was developed to more accurately describe complex linguistic expressions. In this study, the decision-making problem is dealt with to determine the optimal location for the installation of photovoltaic (PV) solar plants with high installation costs. According to the DHHFLTS, the evaluation statements from the experts are processed by the MULTIMOORA method, which is an important decision-making tool, and the four alternative positions are compared according to four basic criteria.

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	1025-1033
Sayfa sayısı	9
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_121
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

???event.eventtypes.event.conference???

???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.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-030-23756-1_121

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çoban, V., & Onar, S. Ç. (2020). Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision. 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. 1025-1033). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_121

Çoban, Veysel ; Onar, Sezi Çevik. / Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision. 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. 1025-1033 (Advances in Intelligent Systems and Computing).

@inproceedings{69c9522e9bcc485d9c8fabf94d9d8354,

title = "Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision",

abstract = "The linguistic terms used in expressing thoughts more naturally are used in many scientific studies, especially decision making. In order to obtain better results than linguistic expressions, studies are carried out to develop the hesitant fuzzy linguistic term sets (HFLTSs), which are used as the main tools for expressing and evaluating linguistic terms. A new example of these studies, the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) was developed to more accurately describe complex linguistic expressions. In this study, the decision-making problem is dealt with to determine the optimal location for the installation of photovoltaic (PV) solar plants with high installation costs. According to the DHHFLTS, the evaluation statements from the experts are processed by the MULTIMOORA method, which is an important decision-making tool, and the four alternative positions are compared according to four basic criteria.",

keywords = "Double hierarchy hesitant fuzzy linguistic term set, Double hierarchy linguistic term set, MCDM decision making, Solar energy",

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

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_121",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1025--1033",

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

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Çoban, V & Onar, SÇ 2020, Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision. 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. 1025-1033, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_121

Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision. / Çoban, Veysel; Onar, Sezi Çevik.
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. 1025-1033 (Advances in Intelligent Systems and Computing; Hac. 1029).

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

TY - GEN

T1 - Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision

AU - Çoban, Veysel

AU - Onar, Sezi Çevik

PY - 2020

Y1 - 2020

N2 - The linguistic terms used in expressing thoughts more naturally are used in many scientific studies, especially decision making. In order to obtain better results than linguistic expressions, studies are carried out to develop the hesitant fuzzy linguistic term sets (HFLTSs), which are used as the main tools for expressing and evaluating linguistic terms. A new example of these studies, the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) was developed to more accurately describe complex linguistic expressions. In this study, the decision-making problem is dealt with to determine the optimal location for the installation of photovoltaic (PV) solar plants with high installation costs. According to the DHHFLTS, the evaluation statements from the experts are processed by the MULTIMOORA method, which is an important decision-making tool, and the four alternative positions are compared according to four basic criteria.

AB - The linguistic terms used in expressing thoughts more naturally are used in many scientific studies, especially decision making. In order to obtain better results than linguistic expressions, studies are carried out to develop the hesitant fuzzy linguistic term sets (HFLTSs), which are used as the main tools for expressing and evaluating linguistic terms. A new example of these studies, the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) was developed to more accurately describe complex linguistic expressions. In this study, the decision-making problem is dealt with to determine the optimal location for the installation of photovoltaic (PV) solar plants with high installation costs. According to the DHHFLTS, the evaluation statements from the experts are processed by the MULTIMOORA method, which is an important decision-making tool, and the four alternative positions are compared according to four basic criteria.

KW - Double hierarchy hesitant fuzzy linguistic term set

KW - Double hierarchy linguistic term set

KW - MCDM decision making

KW - Solar energy

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U2 - 10.1007/978-3-030-23756-1_121

DO - 10.1007/978-3-030-23756-1_121

M3 - Conference contribution

AN - SCOPUS:85069482585

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 1025

EP - 1033

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 -

Çoban V, Onar SÇ. Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision. 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. 1025-1033. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_121

Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision

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