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

^*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

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.

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	527-536
Number of pages	10
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_65
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.

Keywords

Aggregation operator
Decision making
Intuitionistic fuzzy
Multi-attribute
Neutrosophic set

Access to Document

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

Cite this

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; Vol. 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. editor / 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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year = "2020",

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

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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, vol. 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; Vol. 1029).

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

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AU - Gulbay, Murat

AU - Kahraman, Cengiz

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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.

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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, editors, 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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Keywords

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