In this paper we describe a fuzzy approach for solving nonlinear fractional programming problem with linear
constraints (NLFPP). In the proposed approach, the objective function is transformed into linear function by using
Taylor's theorem and the considered NLFPP is changed into equivalent linear programming problem (LPP) which it
can be solved as a linear programming problem. The proposed approach is based on choosing three initial points inside
the feasible region which enable us to generate a new point at which the value of objective function is better than the
previous value, and so on to reach the best approximation of optimal solution.