In recent years,people’s awareness of environmental protection has gradually increased,and higher requirements have been put forward for enterprise management.Under the strong advocacy of the government,the concept of sustainable development has been deeply rooted in the hearts of the people,prompting enterprises to carry out "green" production.Selecting suitable green suppliers is the first step for enterprises to carry out green production.Because of the many and complex influencing factors,the selection of green suppliers is often fuzzy and uncertain.How to identify green suppliers that are compatible with the development of enterprises has become a difficult problem for managers.Therefore,it is of great theoretical and practical significance to explore the construction and application of multi-attribute decision-making model and provide effective decision-making methods for enterprises to select green suppliers.First of all,this paper refers to the existing literature and combines the background of the times to build the indicator evaluation system from five aspects.At the same time,the classic multi-attribute decision-making model is improved according to the psychological theory,and three intuitionistic fuzzy decision-making models based on the cumulative prospect theory are proposed: GRA model(IF-CPT-GRA),TOPSIS model(IF-CPT-TOPSIS)and VIKOR model(IF-CPT-VIKOR).Secondly,the expert evaluation matrix is transformed into an intuitionistic fuzzy decision matrix by using the transformation table for subsequent evaluation.In addition,in order to ensure the scientific nature of the model,this paper uses the entropy weight method to measure the importance of each expert,and uses the CRITIC method to determine the objective weight of the index,reducing the impact of human factors.This paper applies the three models to the selection and evaluation of green suppliers,and has achieved better results.Finally,the stability and effectiveness of the model are verified by parameter analysis and comparative analysis,and the specific application scope is given based on the advantages and characteristics of the models. |