Multicriteria scoring methods using pythagorean fuzzy sets

Cengiz Kahraman; Basar Oztaysi; Sezi Cevik Onar

doi:10.1007/978-3-319-66824-6_29

Multicriteria scoring methods using pythagorean fuzzy sets

Cengiz Kahraman^*, Basar Oztaysi, Sezi Cevik Onar

^*Corresponding author for this work

Department of Industrial Engineering

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

12 Citations (Scopus)

Abstract

Scoring methods are one of the most used multicriteria decision making methods (MCDM) in the literature. Their simplicity and efficiency cause their frequently usage for the solution of multicriteria decision making problems. In this paper, we develop Pythagorean fuzzy scoring methods to be used under fuzziness. Pythagorean fuzzy sets have better powerful ability than intuitionistic fuzzy sets to model the uncertainty in MCDM problems. We present the numerical applications of the proposed methods.

Original language	English
Title of host publication	Advances in Fuzzy Logic and Technology 2017 - Proceedings of
Subtitle of host publication	EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets
Editors	Maciej Krawczak, Krassimir T. Atanassov, Janusz Kacprzyk, Eulalia Szmidt, Slawomir Zadrozny, Maciej Krawczak
Publisher	Springer Verlag
Pages	328-335
Number of pages	8
ISBN (Print)	9783319668239
DOIs	https://doi.org/10.1007/978-3-319-66824-6_29
Publication status	Published - 2018
Event	Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017 - Warsaw, Poland Duration: 11 Sept 2017 → 15 Sept 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	642
ISSN (Print)	2194-5357

Conference

Conference	Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017
Country/Territory	Poland
City	Warsaw
Period	11/09/17 → 15/09/17

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG.

Keywords

Decision making
Multicriteria
Pythagorean fuzzy sets
Scoring methods
Simple additive weighting method
Weighted product method

Access to Document

10.1007/978-3-319-66824-6_29

Cite this

Kahraman, C., Oztaysi, B., & Onar, S. C. (2018). Multicriteria scoring methods using pythagorean fuzzy sets. In M. Krawczak, K. T. Atanassov, J. Kacprzyk, E. Szmidt, S. Zadrozny, & M. Krawczak (Eds.), Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (pp. 328-335). (Advances in Intelligent Systems and Computing; Vol. 642). Springer Verlag. https://doi.org/10.1007/978-3-319-66824-6_29

Kahraman, Cengiz ; Oztaysi, Basar ; Onar, Sezi Cevik. / Multicriteria scoring methods using pythagorean fuzzy sets. Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. editor / Maciej Krawczak ; Krassimir T. Atanassov ; Janusz Kacprzyk ; Eulalia Szmidt ; Slawomir Zadrozny ; Maciej Krawczak. Springer Verlag, 2018. pp. 328-335 (Advances in Intelligent Systems and Computing).

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title = "Multicriteria scoring methods using pythagorean fuzzy sets",

abstract = "Scoring methods are one of the most used multicriteria decision making methods (MCDM) in the literature. Their simplicity and efficiency cause their frequently usage for the solution of multicriteria decision making problems. In this paper, we develop Pythagorean fuzzy scoring methods to be used under fuzziness. Pythagorean fuzzy sets have better powerful ability than intuitionistic fuzzy sets to model the uncertainty in MCDM problems. We present the numerical applications of the proposed methods.",

keywords = "Decision making, Multicriteria, Pythagorean fuzzy sets, Scoring methods, Simple additive weighting method, Weighted product method",

author = "Cengiz Kahraman and Basar Oztaysi and Onar, {Sezi Cevik}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017 ; Conference date: 11-09-2017 Through 15-09-2017",

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pages = "328--335",

editor = "Maciej Krawczak and Atanassov, {Krassimir T.} and Janusz Kacprzyk and Eulalia Szmidt and Slawomir Zadrozny and Maciej Krawczak",

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Kahraman, C , Oztaysi, B & Onar, SC 2018, Multicriteria scoring methods using pythagorean fuzzy sets. in M Krawczak, KT Atanassov, J Kacprzyk, E Szmidt, S Zadrozny & M Krawczak (eds), Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Advances in Intelligent Systems and Computing, vol. 642, Springer Verlag, pp. 328-335, Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, Warsaw, Poland, 11/09/17. https://doi.org/10.1007/978-3-319-66824-6_29

Multicriteria scoring methods using pythagorean fuzzy sets. / Kahraman, Cengiz ; Oztaysi, Basar ; Onar, Sezi Cevik.
Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. ed. / Maciej Krawczak; Krassimir T. Atanassov; Janusz Kacprzyk; Eulalia Szmidt; Slawomir Zadrozny; Maciej Krawczak. Springer Verlag, 2018. p. 328-335 (Advances in Intelligent Systems and Computing; Vol. 642).

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

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T1 - Multicriteria scoring methods using pythagorean fuzzy sets

AU - Kahraman, Cengiz

AU - Oztaysi, Basar

AU - Onar, Sezi Cevik

PY - 2018

Y1 - 2018

N2 - Scoring methods are one of the most used multicriteria decision making methods (MCDM) in the literature. Their simplicity and efficiency cause their frequently usage for the solution of multicriteria decision making problems. In this paper, we develop Pythagorean fuzzy scoring methods to be used under fuzziness. Pythagorean fuzzy sets have better powerful ability than intuitionistic fuzzy sets to model the uncertainty in MCDM problems. We present the numerical applications of the proposed methods.

AB - Scoring methods are one of the most used multicriteria decision making methods (MCDM) in the literature. Their simplicity and efficiency cause their frequently usage for the solution of multicriteria decision making problems. In this paper, we develop Pythagorean fuzzy scoring methods to be used under fuzziness. Pythagorean fuzzy sets have better powerful ability than intuitionistic fuzzy sets to model the uncertainty in MCDM problems. We present the numerical applications of the proposed methods.

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KW - Multicriteria

KW - Pythagorean fuzzy sets

KW - Scoring methods

KW - Simple additive weighting method

KW - Weighted product method

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A2 - Zadrozny, Slawomir

A2 - Krawczak, Maciej

PB - Springer Verlag

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ER -

Kahraman C , Oztaysi B , Onar SC. Multicriteria scoring methods using pythagorean fuzzy sets. In Krawczak M, Atanassov KT, Kacprzyk J, Szmidt E, Zadrozny S, Krawczak M, editors, Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Springer Verlag. 2018. p. 328-335. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-66824-6_29

Multicriteria scoring methods using pythagorean fuzzy sets

Abstract

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Bibliographical note

Keywords

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