The notion of S-convex fuzzy processes is discussed. The important property of convex processes is the possibility to transpose closed convex processes which is useful in optimization theory. The S-convex function is introduced as a generalization of convex function. It is observed that the convex processes are special case of S-convex set valued maps. The observation reveals that set valued map is S-convex only if the associated support function is S-convex function.