Computationally semi-numerical technique for solving system of intuitionistic fuzzy differential equations with engineering applications

Some complex problems in science and engineering are modeled using fuzzy differential equations. Many equations cannot be solved by exact techniques because of the complexity mentioned. We utilize analytical to solve a system they simple use frequently result closed-form solutions. The Generalized Modified Adomian Decomposition Method is developed this article compute solution linear intuitionistic triangular initial value problems. starting values case thought as numbers. Engineering examples, such Brine Tanks Problem, used demonstrate proposed approach show how series converges closed form or series. corresponding graphs at different levels uncertainty example’s numerical outcomes. graphical representations further effectiveness accuracy method comparison Taylor’s approaches classical method.