a probability model procedure for solving stochastic multi-objective linear fractional programming problem

In this paper we propose an approach for solving multi-objective linear fractional programming (molfp) problem in which the coefficients of objective functions and the right hand side of the constraints are stochastic. using the probability model, first we change the problem to the usual molfp problem with deterministic parameters. then, we use fuzzygoal programming technique for achievement the highest membership value of each fuzzy goals defined for the fractional objectives. the taylor series is used for linearization of the membership functions. the approach is illustrated by a numerical example.