A Benchmark Similarity Measures for Fermatean Fuzzy Sets

Authors

  • Faiz Muhammad Khan University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistan image/svg+xml Author
  • Imran Khan University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistan image/svg+xml Author
  • Waqas Ahmad University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistan image/svg+xml Author

DOI:

https://doi.org/10.18778/0138-0680.2022.08

Keywords:

Fermatean fuzzy set, similarity measure, S-similarity measure

Abstract

In this paper, we utilized triangular conorms (S-norm). The essence of using S-norm is that the similarity order does not change using different norms. In fact, we are investigating for a new conception for calculating the similarity of two Fermatean fuzzy sets. For this purpose, utilizing an S-norm, we first present a formula for calculating the similarity of two Fermatean fuzzy values, so that they are truthful in similarity properties. Following that, we generalize a formula for calculating the similarity of the two Fermatean fuzzy sets which prove truthful in similarity conditions. Finally, various numerical examples have been presented to elaborate this method.

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Published

2022-06-08

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Section

Research Article

How to Cite

Khan, Faiz Muhammad, Imran Khan, and Waqas Ahmad. 2022. “A Benchmark Similarity Measures for Fermatean Fuzzy Sets”. Bulletin of the Section of Logic 51 (2): 207-26. https://doi.org/10.18778/0138-0680.2022.08.