Analysis of Backward Fuzzy Doubly Stochastic Differential Equations

Authors

  • Hassan alrwazq university of kufa
  • Falah Hassan Sarhan University of Kufa

DOI:

https://doi.org/10.31642/JoKMC/2018/100205%20

Keywords:

Backward Doubly Fuzzy Stochastic Differential Equations, Backward Fuzzy Stochastic Differential Equations, Approximation solution, differential equations.

Abstract

In this paper, we propose a new formula for the backward doubly fuzzy stochastic differential equations (BFDSDEs), In the beginning, we present some basic concepts, definitions, and Hypotheses to obtain the numerical scheme for BFDSDEs, as our scheme depends on the partition of interval [0, T]. In our work, we prove that under Lipschitz conditions, the approximation solution for the backward fuzzy doubly stochastic differential equations converges to the exact solution by using mean square error, and prove the existence and uniqueness of approximations solutions to BFDSDEs.

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Published

2023-08-31

How to Cite

alrwazq, H., & Sarhan, F. H. (2023). Analysis of Backward Fuzzy Doubly Stochastic Differential Equations. Journal of Kufa for Mathematics and Computer, 10(2), 30–37. https://doi.org/10.31642/JoKMC/2018/100205

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