Hesitant fuzzy analytic hierarchy process

Basar Oztaysi; Sezi Cevik Onar; Eda Bolturk; Cengiz Kahraman

doi:10.1109/FUZZ-IEEE.2015.7337948

Hesitant fuzzy analytic hierarchy process

Basar Oztaysi, Sezi Cevik Onar, Eda Bolturk, Cengiz Kahraman

Department of Industrial Engineering

Istanbul Technical University

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

91 Citations (Scopus)

Abstract

Ordinary fuzzy sets have been recently extended to intuitionistic and hesitant fuzzy sets, which are frequently used for the solution of decision-making problems. All these extensions aim at better defining the membership values or functions of the considered parameters. In this paper we develop a hesitant fuzzy analytic hierarchy process method involving multi-experts' linguistic evaluations aggregated by ordered weighted averaging (OWA) operator. The developed hesitant fuzzy AHP method is applied to a multicriteria supplier selection problem.

Original language	English
Title of host publication	FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
Editors	Adnan Yazici, Nikhil R. Pal, Hisao Ishibuchi, Bulent Tutmez, Chin-Teng Lin, Joao M. C. Sousa, Uzay Kaymak, Trevor Martin
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467374286
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2015.7337948
Publication status	Published - 25 Nov 2015
Event	IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 - Istanbul, Turkey Duration: 2 Aug 2015 → 5 Aug 2015

Publication series

Name	IEEE International Conference on Fuzzy Systems
Volume	2015-November
ISSN (Print)	1098-7584

Conference

Conference	IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
Country/Territory	Turkey
City	Istanbul
Period	2/08/15 → 5/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

AHP
OWA operator
decision making
hesitant fuzzy sets
multi-experts

Access to Document

10.1109/FUZZ-IEEE.2015.7337948

Cite this

Oztaysi, B., Onar, S. C., Bolturk, E., & Kahraman, C. (2015). Hesitant fuzzy analytic hierarchy process. In A. Yazici, N. R. Pal, H. Ishibuchi, B. Tutmez, C.-T. Lin, J. M. C. Sousa, U. Kaymak, & T. Martin (Eds.), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems Article 7337948 (IEEE International Conference on Fuzzy Systems; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2015.7337948

Oztaysi, Basar ; Onar, Sezi Cevik ; Bolturk, Eda et al. / Hesitant fuzzy analytic hierarchy process. FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. editor / Adnan Yazici ; Nikhil R. Pal ; Hisao Ishibuchi ; Bulent Tutmez ; Chin-Teng Lin ; Joao M. C. Sousa ; Uzay Kaymak ; Trevor Martin. Institute of Electrical and Electronics Engineers Inc., 2015. (IEEE International Conference on Fuzzy Systems).

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Oztaysi, B, Onar, SC, Bolturk, E & Kahraman, C 2015, Hesitant fuzzy analytic hierarchy process. in A Yazici, NR Pal, H Ishibuchi, B Tutmez, C-T Lin, JMC Sousa, U Kaymak & T Martin (eds), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems., 7337948, IEEE International Conference on Fuzzy Systems, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, 2/08/15. https://doi.org/10.1109/FUZZ-IEEE.2015.7337948

Hesitant fuzzy analytic hierarchy process. / Oztaysi, Basar; Onar, Sezi Cevik; Bolturk, Eda et al.
FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. ed. / Adnan Yazici; Nikhil R. Pal; Hisao Ishibuchi; Bulent Tutmez; Chin-Teng Lin; Joao M. C. Sousa; Uzay Kaymak; Trevor Martin. Institute of Electrical and Electronics Engineers Inc., 2015. 7337948 (IEEE International Conference on Fuzzy Systems; Vol. 2015-November).

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

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AB - Ordinary fuzzy sets have been recently extended to intuitionistic and hesitant fuzzy sets, which are frequently used for the solution of decision-making problems. All these extensions aim at better defining the membership values or functions of the considered parameters. In this paper we develop a hesitant fuzzy analytic hierarchy process method involving multi-experts' linguistic evaluations aggregated by ordered weighted averaging (OWA) operator. The developed hesitant fuzzy AHP method is applied to a multicriteria supplier selection problem.

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KW - OWA operator

KW - decision making

KW - hesitant fuzzy sets

KW - multi-experts

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A2 - Pal, Nikhil R.

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A2 - Sousa, Joao M. C.

A2 - Kaymak, Uzay

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PB - Institute of Electrical and Electronics Engineers Inc.

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Oztaysi B, Onar SC, Bolturk E, Kahraman C. Hesitant fuzzy analytic hierarchy process. In Yazici A, Pal NR, Ishibuchi H, Tutmez B, Lin CT, Sousa JMC, Kaymak U, Martin T, editors, FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. Institute of Electrical and Electronics Engineers Inc. 2015. 7337948. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZ-IEEE.2015.7337948

Hesitant fuzzy analytic hierarchy process

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Keywords

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