Research On Interval-value Intuitionistic Fuzzy Multiple Attribute Group Decision Making Based On Cumulative Prospect Theory

As an extension of intuitionistic fuzzy sets,interval-valued intuitionistic fuzzy sets can have a better adaptability of the increasingly complex decision-making environments.Considering the fuzziness and uncertainty of interval-valued intuitionistic fuzzy sets and the psychological preference of decision-makers,this paper extends the classical MABAC and the classical EDAS methods which based on the cumulative prospect theory to environment of interval-valued intuitionistic fuzzy sets.As a result,this paper constructs two new multiple attribute group decision making methods(IVIF-CPT-MABAC method and IVIF-CPT-EDAS method)which containing interval-value intuitionistic fuzzy information.At the same time,this paper considers the condition of completely unknown attribute weight,so the improved CRITIC method and the improved entropy weight method are used to determine the attribute weight respectively.Next,the new method constructed in this paper is applied to a numerical example of green supplier selection to verify the feasibility of the constructed method.Finally,the robustness and effectiveness of proposed method are verified by sensitivity analysis and comparison with some existing models.