Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection

Elif Haktanır; Cengiz Kahraman

doi:10.1007/978-3-030-98872-2_6

Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection

Elif Haktanır^*, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

Altinbas University

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

Abstract

Entropy Weight Method (EWM) aims at weighting the criteria by measuring value dispersion. The greater dispersion and greater degree of differentiation mean more information in this method. Humans generally prefer linguistic assessments in multi criteria decision-making, which involves some degree of uncertainty. This uncertainty is handled by interval-valued Pythagorean fuzzy (IVPF) sets in this chapter. Multi decision makers’ evaluations are aggregated by IVPF weighted geometric (IVPFWG) operator. The proposed method is applied to a supplier selection problem and compared with IVPF-CRITIC method. The obtained results are presented, and future research suggestions are given.

Original language	English
Title of host publication	Multiple Criteria Decision Making
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	83-100
Number of pages	18
DOIs	https://doi.org/10.1007/978-3-030-98872-2_6
Publication status	Published - 2022

Publication series

Name	Multiple Criteria Decision Making
ISSN (Print)	2366-0023
ISSN (Electronic)	2366-0031

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

CRITIC method
Entropy weight method
Interval-valued Pythagorean fuzzy sets
Supplier selection

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10.1007/978-3-030-98872-2_6

Cite this

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abstract = "Entropy Weight Method (EWM) aims at weighting the criteria by measuring value dispersion. The greater dispersion and greater degree of differentiation mean more information in this method. Humans generally prefer linguistic assessments in multi criteria decision-making, which involves some degree of uncertainty. This uncertainty is handled by interval-valued Pythagorean fuzzy (IVPF) sets in this chapter. Multi decision makers{\textquoteright} evaluations are aggregated by IVPF weighted geometric (IVPFWG) operator. The proposed method is applied to a supplier selection problem and compared with IVPF-CRITIC method. The obtained results are presented, and future research suggestions are given.",

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AU - Kahraman, Cengiz

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N2 - Entropy Weight Method (EWM) aims at weighting the criteria by measuring value dispersion. The greater dispersion and greater degree of differentiation mean more information in this method. Humans generally prefer linguistic assessments in multi criteria decision-making, which involves some degree of uncertainty. This uncertainty is handled by interval-valued Pythagorean fuzzy (IVPF) sets in this chapter. Multi decision makers’ evaluations are aggregated by IVPF weighted geometric (IVPFWG) operator. The proposed method is applied to a supplier selection problem and compared with IVPF-CRITIC method. The obtained results are presented, and future research suggestions are given.

AB - Entropy Weight Method (EWM) aims at weighting the criteria by measuring value dispersion. The greater dispersion and greater degree of differentiation mean more information in this method. Humans generally prefer linguistic assessments in multi criteria decision-making, which involves some degree of uncertainty. This uncertainty is handled by interval-valued Pythagorean fuzzy (IVPF) sets in this chapter. Multi decision makers’ evaluations are aggregated by IVPF weighted geometric (IVPFWG) operator. The proposed method is applied to a supplier selection problem and compared with IVPF-CRITIC method. The obtained results are presented, and future research suggestions are given.

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KW - Entropy weight method

KW - Interval-valued Pythagorean fuzzy sets

KW - Supplier selection

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PB - Springer Science and Business Media Deutschland GmbH

ER -

Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection

Abstract

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Keywords

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