The Method of Grey Related Analysis to Multiple Attribute Decision Making Problems with Intuitionistic Fuzzy Sets

Recently, intuitionistic fuzzy sets have been used to build multiple attribute decision making models that can accommodate imprecise information. In this paper, the method of grey related analysis for handling multiple attribute fuzzy decision making problems based on intuitionistic fuzzy sets is presented. The proposed method allows the degrees of membership and non-membership of every alternative with respect to all attributes and the normalized interval weight of each attribute, instead of the constant weights. The method could provide a useful way to help the decision maker to make his decision efficiently. Finally, an example is shown to highlight the procedure of the algorithm at the end of the paper.