A projection-based approach to intuitionistic fuzzy group decision making

Group decision making (GDM) is usually used for solving the complex decision problems, which is an important part of modern decision science. This paper investigates a GDM method based on projection measurement in an intuitionistic fuzzy environment. First, this article introduces an ideal decision of all individual decisions, and the weights of decision makers are determined by using the projection measurement. Then the individual decisions are aggregated into a collective decision by using the weighted averaging operator. Finally, the preference order of alternatives is ranked based on the collective decision by using the score and accuracy function of the intuitionistic fuzzy number. In addition, a comparison with another GDM method is also done. The feasibility and practicability of the developed method are illustrated by an experimental analysis. The experimental result shows that the projection-based method is a high-resolution decision method.