show the performance of the proposed model. Goal programming is adopted to attain the goals of maximum customer …

goal programming. An illustrative numerical example is solved to clarify the proposed approach. Finally, to demonstrate the … normalize them. A possible relaxation on decision for both levels is considered for avoiding decision deadlock. Then fuzzy goal … programming models are developed to achieve compromise solution of the problem by minimizing the negative deviational variables …

show the performance of the proposed model. Goal programming is adopted to attain the goals of maximum customer …

goal programming. An illustrative numerical example is solved to clarify the proposed approach. Finally, to demonstrate the … normalize them. A possible relaxation on decision for both levels is considered for avoiding decision deadlock. Then fuzzy goal … programming models are developed to achieve compromise solution of the problem by minimizing the negative deviational variables …

This paper proposes a Fuzzy Goal Programming model (FGP) for a real aggregate production-planning problem. To do so, an …

is formulated through fuzzy goal programming in strategic level with supply chain cost and volume flexibility as fuzzy … center echelon is considered as fuzzy goals. A non-linear programming model is formulated through fuzzy goal programming …

A very useful multi-objective technique is goal programming. There are many methodologies of goal programming such as … weighted goal programming, min-max goal programming, and lexicographic goal programming. In this paper, weighted goal … programming is reformulated as goal programming with logarithmic deviation variables. Here, a comparison of the proposed method …

This paper analysis business strategies of banks by solving a goal programming model using a multi-criteria decision … weights or importance of the indicators are a solution of the corresponding problem of goal programming. The ten biggest …