Numerical Approach for Solving fuzzy Integro-Differential Equations

In this paper, we consider a new class of fuzzy functions called Fuzzy Integro- Differential Equations. Some numerical methods, such as Euler, have been used to determine the solutions these equations. We extend techniques find optimal by using control parameters, extended difference Euler technique is for this. Based on parametric form number, Equation divided into two systems second kind. Illustrative examples are given demonstrate high precision and good performance class. Graphical representations reveal symmetry between lower upper-cut represent may be helpful better understanding models in artificial intelligence medical science. The results show that method more accurate terms absolute error.