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Best Proximity Point Results for Fuzzy Proximal Quasi Contractions with Applications

Author

Listed:
  • Muzammil Ali

    (Department of Mathematics, School of Science, University of Management and Technology, C-II, Johar Town, Lahore 54770, Pakistan)

  • Basit Ali

    (Department of Mathematics, School of Science, University of Management and Technology, C-II, Johar Town, Lahore 54770, Pakistan)

Abstract

In this work, we introduce a new type of multivalued fuzzy proximal quasi-contraction. These are generalized contractions which are a hybrid of H -contractive mappings and quasi-contractions. Furthermore, we establish the best proximity point results for newly introduced fuzzy contractions in the context of fuzzy b -metric spaces. Fuzzy b -metric spaces are more general than fuzzy metric spaces and are linked with the cosine distance, which is used in various contexts of artificial intelligence to measure the similarity between elements of a vector space.

Suggested Citation

  • Muzammil Ali & Basit Ali, 2024. "Best Proximity Point Results for Fuzzy Proximal Quasi Contractions with Applications," Mathematics, MDPI, vol. 12(14), pages 1-19, July.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:14:p:2295-:d:1440449
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