Applications of Weighted Tangent Similarity Measure of Picture Hesitant Fuzzy Sets

Authors

  • Noura Al Qarni University of Bisha
  • Noura Omair Alshehri University of Jeddah
  • Rania Alghamdi University of Jeddah

DOI:

https://doi.org/10.29020/nybg.ejpam.v18i4.6045

Keywords:

\keywords{Picture hesitant fuzzy set; Tangent similarity measure; Weighted tangent similarity measure; Medical diagnosis; Building material recognition}

Abstract

Picture hesitant fuzzy sets (PHFSs) provide a powerful framework for modeling uncertainty by incorporating the degrees of membership, non-membership, neutrality, and refusal. This paper introduces a novel similarity measure, the Weighted Tangent Similarity Measure (ωTSM), designed to improve sensitivity to subtle variations and to capture nonlinear interactions among
PHFS components. The proposed measure is theoretically established and empirically validated through two real-world decision-making problems: medical diagnosis and building material classification. In both cases, ωTSM effectively distinguishes between closely related alternatives and consistently outperforms existing methods. The comparative analysis highlights its robustness,
flexibility, and practical value in environments characterized by ambiguity and hesitation. Overall, this study advances fuzzy decision-making models and provides a foundation for future applications in knowledge representation and intelligent systems.

Author Biography

  • Noura Omair Alshehri, University of Jeddah

    Professor, Department of Mathematics and Statistics, Faculty of Science, University of Jeddah.

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Published

2025-11-05

Issue

Section

Mathematical and Fuzzy Logic

How to Cite

Applications of Weighted Tangent Similarity Measure of Picture Hesitant Fuzzy Sets. (2025). European Journal of Pure and Applied Mathematics, 18(4), 6045. https://doi.org/10.29020/nybg.ejpam.v18i4.6045