A Model for Fuzzy Multiple Attribute Group Decision Making and Fuzzy Simulation Algorithm

This paper puts forward a new method for fuzzy multiple attribute group decision making, where the attribute values, the attribute weights and the weights of decision makers are represented by fuzzy variables. A decision making model is constructed by using simple additive weighting average aggregate operator and fuzzy ranking approach based on the expected value operator and the variance operator. A fuzzy simulation is provided to calculate the model. Finally, a numerical example is examined to show the application of the proposed method.