This paper solves a nonlinear fractional programming problem in which the coefficients of the objective function and constraints are interval parameters. Methodology is developed to transform the model into a general optimization problem, which is free from interval uncertainty. Relation between the original problem and the transformed problem is established. Finally, the proposed methodology is explained through a numerical example.