Power Grid Equipment Supplier Selection Based on Cloud Model and Hesitant Linguistic Information

Power grid equipment is the guarantee of the safe and stable operation of power grids, selecting rational power grid equipment suppliers is the focus of power grid enterprise. In order to select the equipment supplier for grid enterprises more objectively and comprehensively, this paper proposes a power grid equipment supplier selection method based on cloud model and hesitant linguistic information, considering the compensation effect among indicators. First, this paper builds an evaluation index system of the equipment supplier selection. Next, using the hesitant linguistic information with credibility to describe the indicators information, and carrying on the transformation by using cloud model, the results of the supplier evaluation indicators can be gained. Finally, through the compensation effect among the indicators, the evaluation results are aggregated. The proposed method can improve scientifically the power grid equipment supplier selection evaluation system, and make the power grid enterprises choose a more reasonable selection of equipment suppliers.