This paper is focused on a new approach for solving nonlinear optimization problems under fuzzy environment. The coefficients of the objective function and constraints are considered to be trapezoidal intuitionistic fuzzy numbers. The fuzzy nonlinear problem is converted into crisp problem, using ranking function and the optimal solution is obtained. An example is illustrated to study the proposed method.