شماره ركورد كنفرانس :
4781
عنوان مقاله :
Linear fractional programming problems subject to mixed fuzzy relation equations
پديدآورندگان :
Hedayatfar Behnaz School of Mathematics and Computer Sciences, Damghan University, P.O.Box 36715-364, Damghan, Iran , Abbasi Molai Ali School of Mathematics and Computer Sciences, Damghan University, P.O.Box 36715-364, Damghan, Iran
كليدواژه :
Mixed fuzzy relation equation , fractional programming , linear programming , minimal solutions.
عنوان كنفرانس :
يازدهمين كنفرانس بين المللي انجمن ايراني تحقيق در عمليات
چكيده فارسي :
In this paper, the problem of linear fractional programming problem provided to Mixed Fuzzy Relation Equation (MFRE) is studied. The structure of its feasible domain is firstly investigated. It is shown that the complete solution set is determined by a maximum solution and a finite number of minimal solutions. With regard to the structure, the problem is converted to some traditional fractional programming problems, then Charnes and Copper’s transformation is applied to convert them to linear programming problems. Finally, we can easily find the optimal solution of the original problem by solving the linear programming problems. A numerical example is given to illustrate the process.