a combined evaluation method to rank alternatives based on vikor and dea with belief structure under uncertainty

this paper processes a combined method, based on vikor and data envelopment analysis (dea) to select the units with most efficiency. we utilize the vikor as compromise solution method. this research is a two-stage model designed to fully rank the alternatives, where each alternative has multiple inputs and outputs. the problem involves belief parameters in the solution procedure. first, the alternative evaluation problem is formulated by data envelopment analysis (dea) and in the second stage; we use the opinion of experts with belief parameter to be applied into a model of group decision-making (dm) called the aggregated fuzzy belief decision matrix. . in this method weight of efficiency witch obtained from vikor is multiply with weight of ccr model of data envelopment analysis. finally, to illustrate the proposed method, an illustrative example is provided.