Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS method

In this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and weights of decision makers’ opinions are unknown. In proposed method, expected values and weighted averaging operator for trapezoidal intuitionist fuzzy numbers are used to induce the weight values of criteria and decision makers’ opinions.Then an algorithm for ranking alternatives is presented under trapezoidal intuitionist fuzzy environment. Finally, using a numerical example, the efficiency of new extended TOPSIS method is investigated.