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International Conference on Intelligent and Fuzzy Systems

INFUS 2019: Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making pp 15–23Cite as

Principals of Spherical Fuzzy Sets

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1029))

Abstract

The 3D extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS) aim to describe experts’ judgments more informatively and explicitly. Introduction of generalized three dimensional spherical fuzzy sets (SFS) including some essential differences from the other fuzzy sets is presented in the literature with their arithmetic, aggregation, and defuzzification operations [1]. This study summarizes the previously introduced spherical fuzzy sets and as an application spherical fuzzy TOPSIS method will be applied to the site selection of photovoltaic power station.

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References

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Istanbul Technical University, Besiktas, Istanbul, 34367, Turkey

    Fatma Kutlu Gündoğdu

  2. Industrial Engineering Department, Istanbul Kültür University, Bakırkoy, Istanbul, 34191, Turkey

    Fatma Kutlu Gündoğdu

Authors
  1. Fatma Kutlu Gündoğdu
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Corresponding author

Correspondence to Fatma Kutlu Gündoğdu .

Editor information

Editors and Affiliations

  1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Management Faculty, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Gündoğdu, F.K. (2020). Principals of Spherical Fuzzy Sets. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_4

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