A Hybrid Method of DEA and MODM in Grey Environment

DEA Classic models cannot be used for inaccurate and indeterminate data, and it is supposed that the data for all inputs and outputs are accurate and determinate. However, in real life situations uncertainty is more common. This article attempts to get the common weights for Decision-Making Units by developing DEA multi-objective models in the grey environment. First, we compute the privilege of DMUs efficiency to receive more accurate ranking. Finally, in order to assess the results, an example is presented to compare the results of the DMUs ranking between DEA Classic models and the presented model.