Abstract:

A new method is proposed to handle multi-criteria decision making with complete information based on the similarity of interval type-2 fuzzy number. First, the overall values of all alternatives are calculated by type-2 aggregation operators. Then both positive and negative ideal points are determined based on expected value function. The similarity coefficients are calculated from the alternatives to those ideal points, respectively, and the ranking result of all alternatives is obtained. Finally, a numerical example is employed to show the efficiency and feasibility of the developed method.