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This paper proposes a fuzzy goal programming based on Taylor series forsolving decentralized bi-level multiobjective fractional programming (DBLMOFP)problem. In the proposed approach, all of the membership functions areassociated with the fuzzy goals of each objective at the both levels and alsothe fractional membership functions are converted to linear functions using theTaylor series approach. Then a fuzzy goal programming is proposed to reach thehighest degree of each of the membership goals by taking the most satisfactorysolution for all decision makers at the both levels. Finally, a numericalexample is presented to illustrate the effectiveness of the proposed approach.

An interactive fuzzy goal programming algorithm to solve decentralized bi-level multiobjective fractional programming problem