Optimal Site Selection of Electric Vehicle Charging Station by Using Spherical Fuzzy TOPSIS Method

Fatma Kutlu Gündoğdu*, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

46 Citations (Scopus)

Abstract

TOPSIS method is a distance based multi-criteria decision making tool which is one of the most used methods. It has been extended by using each of the recently proposed fuzzy set types such as type-2 fuzzy TOPSIS, hesitant fuzzy TOPSIS, intuitionistic fuzzy TOPSIS, and Pythagorean fuzzy TOPSIS. As a new extension of Picture fuzzy sets, the emerging spherical fuzzy sets (SFS) and spherical fuzzy TOPSIS method have been proposed by Kutlu Gündoğdu and Kahraman (2019a). In spherical fuzzy sets, the sum of membership, non-membership and hesitancy degrees must satisfy the condition in which these parameters are assigned independently. In this chapter, spherical fuzzy TOPSIS method is used in solving a multiple criteria selection problem for optimal site selection of electric vehicle charging station to verify the developed approach and to demonstrate its practicality and effectiveness. A comparative analysis with single-valued spherical fuzzy CODAS method is also performed.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer
Pages201-216
Number of pages16
DOIs
Publication statusPublished - 2021

Publication series

NameStudies in Fuzziness and Soft Computing
Volume392
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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