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

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Decision Making with Spherical Fuzzy Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 392))

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 \(0 \le \mu^{2} + v^{2} + \pi^{2} \le 1\) 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.

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Correspondence to Fatma Kutlu Gündoğdu .

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Kutlu Gündoğdu, F., Kahraman, C. (2021). Optimal Site Selection of Electric Vehicle Charging Station by Using Spherical Fuzzy TOPSIS Method. In: Kahraman, C., Kutlu Gündoğdu, F. (eds) Decision Making with Spherical Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-030-45461-6_8

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