Abstract
Sensitivity analysis in fractional programming using a tolerance approach is studied. This approach yields a maximum tolerance percentage within which the cost vectors and the elements of a column or a row of the coefficient matrix are accurate to within that percentage of their estimated values while retaining the same set of basic variables in an optimal solution.