  In this paper an alternative approach to solve uncertain Stochastic
Differential Equation (SDE) is proposed. This uncertainty occurs due to the
involved parameters in system and these are considered as Triangular Fuzzy
Numbers (TFN). Here the proposed fuzzy arithmetic in [2] is used as a tool to
handle Fuzzy Stochastic Differential Equation (FSDE). In particular, a system
of Ito stochastic differential equations is analysed with fuzzy parameters.
Further exact and Euler Maruyama approximation methods with fuzzy values are
demonstrated and solved some standard SDE.
