An Application to Computer Science via New Fixed Point Technique

Authors

  • Khaleel Ahmad Muhammad Ramzan Department of Mathematics and statistics, International Islamic University Islamabad, Pakistan
  • Umar Ishtiaq
  • Jawad Afzal

DOI:

https://doi.org/10.54938/ijemdcsai.2022.01.2.138

Keywords:

common fixed point; Θ-contraction; orthogonal metric space; domain of words

Abstract

We construct some standard orthogonal L-fuzzy fixed point findings for almost orthogonal Θ-contraction in the context of orthogonal complete ms using the orthogonal L-fuzzy mapping (OLF-mapping). We prove some non-trivial examples to supporting our main results. Also, we establish a theoretical computer science application to domain of words.

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Published

2022-09-30

How to Cite

Muhammad Ramzan, K. A., Umar Ishtiaq, & Jawad Afzal. (2022). An Application to Computer Science via New Fixed Point Technique. International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence, 1(2), 13–25. https://doi.org/10.54938/ijemdcsai.2022.01.2.138

Issue

Vol. 1 No. 2 (2022)

Section

Research Article

Categories

License

Copyright (c) 2022 International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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