Research on green supplier evaluation based on probability language terminology set

In order to scientifically and reasonably evaluate green suppliers, a multi-attribute decision-making method based on a probability language terminology set is proposed. Firstly, considering the characteristics of green suppliers, a green supplier evaluation index system is constructed from four dimensions: quality, logistics cost, delivery stability, and green indicators. Secondly, to address the issues of fuzziness in evaluation information and insufficient consideration of interrelationships between attributes, a probability language DEMATEL model is developed to determine weights, and a probability language scoring function is used to rank alternative suppliers. Finally, the feasibility and effectiveness of the proposed method are validated through case analysis and comparative analysis.