Common Fixed Point Theorem for Compatible Mappings in Fuzzy Cone Metric Spaces Using Altering Distance Function
Authors
Department of Mathematics, School of Liberal Arts and Sciences, Mody University of Science and Technology, Laxmangarh, Sikar, Rajasthan (India)
Department of Mathematics, School of Liberal Arts and Sciences, Mody University of Science and Technology, Laxmangarh, Sikar, Rajasthan (India)
Department of Mathematics, School of Liberal Arts and Sciences, Mody University of Science and Technology, Laxmangarh, Sikar, Rajasthan (India)
Article Information
DOI: 10.51584/IJRIAS.2026.11070143
Subject Category: Mathematics
Volume/Issue: 11/7 | Page No: 2009-2017
Publication Timeline
Submitted: 2026-07-26
Accepted: 2026-07-31
Published: 2026-08-13
Abstract
In this paper, we establish new common fixed point theorems for compatible mappings in fuzzy cone metric spaces by employing altering distance functions. Our results extend, generalize, and unify several existing fixed point theorems in fuzzy metric spaces, cone metric spaces, and probabilistic metric spaces. The approach using altering distance functions provides flexibility in handling convergence under vagueness and partial ordering induced by cones. An illustrative example demonstrates the validity of our main result, and possible applications to nonlinear functional analysis and differential equations are discussed.
Keywords
Common Fixed Point, Compatible Mappings, Fuzzy Cone Metric Spaces, Weekly Compatible Mappings, Altering Distance Functions
Downloads
References
1. A. Moussaoui, “Fuzzy metric spaces: a survey on fixed point results,” Advances in Nonlinear Studies, 2025, doi:10.1186/s13663-025-00806-4. [Google Scholar] [Crossref]
2. Došenović, T., Rakić, D., & Brdar, M. (2014). Fixed point theorem in fuzzy metric spaces using altering distance. Filomat, 28(7), 1517-1524. (https://doi.org/10.2298/FIL1407517D) [Google Scholar] [Crossref]
3. George, A., & Veeramani, P. (1994). On some results in fuzzy metric spaces. Fuzzy sets and systems, 64(3), 395-399.( https://doi.org/10.1016/0165-0114(94)90162-7) [Google Scholar] [Crossref]
4. Gupta, V., Saini, R. K., & Verma, M. (2016, April). Common Fixed-Point Theorem for Set-Valued Occasionally Weakly Compatible Mappings in Fuzzy Metric Spaces. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2 (pp. 65-70). Singapore: Springer Singapore.( https://doi.org/10.1007/978-981-10-0451-3_7) [Google Scholar] [Crossref]
5. Janković, S., Golubović, Z., & Radenović, S. (2010). Compatible and weakly compatible mappings in cone metric spaces. Mathematical and Computer Modelling, 52(9-10), 1728-1738.( https://doi.org/10.1016/j.mcm.2010.06.043) [Google Scholar] [Crossref]
6. Jungck, G. (1986). Compatible mappings and common fixed points. International journal of mathematics and mathematical sciences, 9(4), 771-779.( https://doi.org/10.1515/dema-1993-3-427) [Google Scholar] [Crossref]
7. Khan, M. S., Swaleh, M., & Sessa, S. (1984). Fixed point theorems by altering distances between the points. Bulletin of the Australian Mathematical Society, 30(1), 1-9.( https://doi.org/10.1017/s0004972700001659) [Google Scholar] [Crossref]
8. Kramosil, I., & Michálek, J. (1975). Fuzzy metrics and statistical metric spaces. Kybernetika, 11(5), 336-344. [Google Scholar] [Crossref]
9. Long-Guang, H., & Xian, Z. (2007). Cone metric spaces and fixed point theorems of contractive mappings. J. Math. Anal. Appl, 332(2), 1468-1476.( https://doi.org/10.1016/j.jmaa.2005.03.087) [Google Scholar] [Crossref]
10. M. Raji, L. Rathour, L. N. Mishra, and V. N. Mishra, “Fuzzy cone metric spaces and fixed point theorems for fuzzy type contraction,” Trans. Fuzzy Sets Syst., vol. 3, no. 2, pp. 82–99, 2024. [Google Scholar] [Crossref]
11. Nagoor Gani, A., & Mohamed Althaf, M. (2019). Fixed Point Theorems for Integral Type Contraction/In Fuzzy Metric Spaces Using Altering Distance Function.( https://doi.org/10.5958/2320-3226.2019.00046.8 [Google Scholar] [Crossref]
12. Oner, T., Kandemir, M. B., & Tanay, B. (2015). Fuzzy cone metric spaces. J. Nonlinear Sci. Appl, 8(5), 610-616.( https://doi.org/10.22436/jnsa.008.05.13) [Google Scholar] [Crossref]
13. Rangamma, M., Reddy, G. M., & Rao, P. S. (2011). Weakly compatible maps in fuzzy metric spaces. Kathmandu University Journal of Science, Engineering and Technology, 7(1), 28-37. [Google Scholar] [Crossref]
14. Rehman, S. U., & Li, H. X. (2017). Fixed point theorems in fuzzy cone metric spaces. J. Nonlinear Sci. Appl, 10, 5763-5769.( https://doi.org/10.22436/jnsa.010.11.14) [Google Scholar] [Crossref]
15. Rehman, S. U., Jabeen, S., Abbas, F., Ullah, H., & Khan, I. (2020). Common fixed point theorems for compatible and weakly compatible maps in fuzzy cone metric spaces. Annals of Fuzzy Mathematics and Informatics, 19(1), 1-19.( https://doi.org/10.30948/afmi.2020.19.1.1) [Google Scholar] [Crossref]
16. S. Tiwari and R. Agrawal, “Analytical analysis of common fixed point results in fuzzy cone metric spaces,” Asian J. Sci. Technol. Eng. Art., vol. 2, no. 2, pp. 294–303, 2024.( https://doi.org/10.58578/ajstea.v2i2.2804) [Google Scholar] [Crossref]
17. T. Ravichandran, “Exciting fixed point results in revised fuzzy cone metric spaces,” Advances in Nonlinear Studies, 2025, doi:10.1186/s13663-025-00796-3. [Google Scholar] [Crossref]
18. V. Jinam, V. Bhatia, and V. Singh, “Fixed point theorem via altering distance function in fuzzy metric space,” Math. Journal, vol. 10, no. 5, pp. 985-994, Mar. 2025. [Google Scholar] [Crossref]
19. Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.( https://doi.org/10.1016/s0019-9958(65)90241-x) [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Interplay of Students’ Emotional Intelligence and Attitude toward Mathematics on Performance in Grade 10 Algebra
- Numerical Simulation of Fitzhugh-Nagumo Dynamics Using a Finite Difference-Based Method of Lines
- Fixed Point Theorem in Controlled Metric Spaces
- Usage of Moving Average to Heart Rate, Blood Pressure and Blood Sugar
- Exploring Algebraic Topology and Homotopy Theory: Methods, Empirical Data, and Numerical Examples