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

Hafiza Maria Arshad, Ramsha Shafqat
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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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用平均原理逼近模糊随机分数阶积分演化方程:理论与应用
本文介绍了求解模糊随机分数阶积分演化方程的一种方法——平均原理。通过一定的假设,fsfies的解可以估计为平均模糊随机系统的均方解。这种技术简化了对具有随机性和不确定性的复杂系统的分析和理解。
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