Approximating solutions of fuzzy stochastic fractional integro-evolution equations with the Averaging Principle: Theory and Applications

Authors

  • Hafiza Maria Arshad Department of Mathematics, University of Sargodha, Sargodha, Punjab, Pakistan
  • Ramsha Shafqat Department of Mathematics, University of Sargodha, Sargodha, Punjab, Pakistan

DOI:

https://doi.org/10.52223/ijam.20222204

Abstract

This paper introduces the averaging principle (AP) as a method for solving fuzzy stochastic fractional integro-evolution equations (FSFIEEs). By making certain assumptions, the solutions of FSFIEEs can be estimated as mean square solutions of averaged fuzzy stochastic systems. This technique simplifies the analysis and comprehension of complex systems that are subject to both randomness and uncertainty.

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Published

2022-12-30

How to Cite

Arshad, H. M., & Shafqat, R. (2022). Approximating solutions of fuzzy stochastic fractional integro-evolution equations with the Averaging Principle: Theory and Applications. International Journal of Advancements in Mathematics, 2(2), 150–163. https://doi.org/10.52223/ijam.20222204

Issue

Vol. 2 No. 2 (2022): Int. J. Adv. Math.

Section

Articles

License

Copyright (c) 2022 Hafiza Maria Arshad, Ramsha Shafqat

Creative Commons License

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