  This paper proposes a fuzzy goal programming based on Taylor series for
solving decentralized bi-level multiobjective fractional programming (DBLMOFP)
problem. In the proposed approach, all of the membership functions are
associated with the fuzzy goals of each objective at the both levels and also
the fractional membership functions are converted to linear functions using the
Taylor series approach. Then a fuzzy goal programming is proposed to reach the
highest degree of each of the membership goals by taking the most satisfactory
solution for all decision makers at the both levels. Finally, a numerical
example is presented to illustrate the effectiveness of the proposed approach.
