Multiple attribute group decision making with incomplete information based on interval-valued intuitionistic fuzzy sets theory

This paper deals with multiple attribute group decision making with incomplete information based on interval-valued intuitionistic fuzzy sets theory. At first, score function, accuracy function, consistency index function are introduced. Next, optimization models based on consistency function are established to obtain attribute weights. Then, the weights are utilized to select the most desirable alternatives. Finally, a numerical example is given to illustrate application of the method. The numerical results show that the proposed methods are feasible and effective.