Location selection by intuitionistic fuzzy and neutrosophic aggregation operators

Eda Boltürk; Murat Gulbay; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_65

Location selection by intuitionistic fuzzy and neutrosophic aggregation operators

Eda Boltürk^*, Murat Gulbay, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

2 Atıf (Scopus)

Özet

Location selection has been a very popular problem among the researchers and various models have been developed for the solution of this problem. Fuzzy approaches to location selection problem have also been handled in the literature. Aggregation operators for multi-experts decision making problems have been often used for the solution of multi-attribute decision making problems. In this paper, intuitionistic fuzzy aggregation operators and neutrosophic aggregation operators have been employed since they are quite comparable extensions of ordinary fuzzy sets. An illustrative location problem was solved by two approaches. The same linguistic data have been used for the comparison purpose.

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	527-536
Sayfa sayısı	10
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_65
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.

Belgeye Erişim

10.1007/978-3-030-23756-1_65

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Boltürk, E., Gulbay, M., & Kahraman, C. (2020). Location selection by intuitionistic fuzzy and neutrosophic aggregation operators. 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. 527-536). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_65

Boltürk, Eda ; Gulbay, Murat ; Kahraman, Cengiz. / Location selection by intuitionistic fuzzy and neutrosophic aggregation operators. 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. 527-536 (Advances in Intelligent Systems and Computing).

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title = "Location selection by intuitionistic fuzzy and neutrosophic aggregation operators",

abstract = "Location selection has been a very popular problem among the researchers and various models have been developed for the solution of this problem. Fuzzy approaches to location selection problem have also been handled in the literature. Aggregation operators for multi-experts decision making problems have been often used for the solution of multi-attribute decision making problems. In this paper, intuitionistic fuzzy aggregation operators and neutrosophic aggregation operators have been employed since they are quite comparable extensions of ordinary fuzzy sets. An illustrative location problem was solved by two approaches. The same linguistic data have been used for the comparison purpose.",

keywords = "Aggregation operator, Decision making, Intuitionistic fuzzy, Multi-attribute, Neutrosophic set",

author = "Eda Bolt{\"u}rk and Murat Gulbay 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",

year = "2020",

doi = "10.1007/978-3-030-23756-1_65",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

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pages = "527--536",

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",

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Boltürk, E, Gulbay, M & Kahraman, C 2020, Location selection by intuitionistic fuzzy and neutrosophic aggregation operators. 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. 527-536, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_65

Location selection by intuitionistic fuzzy and neutrosophic aggregation operators. / Boltürk, Eda; Gulbay, Murat; 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. 527-536 (Advances in Intelligent Systems and Computing; Hac. 1029).

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

TY - GEN

T1 - Location selection by intuitionistic fuzzy and neutrosophic aggregation operators

AU - Boltürk, Eda

AU - Gulbay, Murat

AU - Kahraman, Cengiz

PY - 2020

Y1 - 2020

N2 - Location selection has been a very popular problem among the researchers and various models have been developed for the solution of this problem. Fuzzy approaches to location selection problem have also been handled in the literature. Aggregation operators for multi-experts decision making problems have been often used for the solution of multi-attribute decision making problems. In this paper, intuitionistic fuzzy aggregation operators and neutrosophic aggregation operators have been employed since they are quite comparable extensions of ordinary fuzzy sets. An illustrative location problem was solved by two approaches. The same linguistic data have been used for the comparison purpose.

AB - Location selection has been a very popular problem among the researchers and various models have been developed for the solution of this problem. Fuzzy approaches to location selection problem have also been handled in the literature. Aggregation operators for multi-experts decision making problems have been often used for the solution of multi-attribute decision making problems. In this paper, intuitionistic fuzzy aggregation operators and neutrosophic aggregation operators have been employed since they are quite comparable extensions of ordinary fuzzy sets. An illustrative location problem was solved by two approaches. The same linguistic data have been used for the comparison purpose.

KW - Aggregation operator

KW - Decision making

KW - Intuitionistic fuzzy

KW - Multi-attribute

KW - Neutrosophic set

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Boltürk E, Gulbay M, Kahraman C. Location selection by intuitionistic fuzzy and neutrosophic aggregation operators. 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. 527-536. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_65

Location selection by intuitionistic fuzzy and neutrosophic aggregation operators

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Yayın serisi

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Belgeye Erişim

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