Supply chain quality performance evaluation model based on intuitionistic fuzzy PROMETHEE

Abstract

Aiming at the ambiguity and uncertainty in subjective group decision-making of supply chain quality performance evaluation, the traditional preference ranking organization methods for enrichment evaluation (PROMETHEE) is extended to a fuzzy environment, and a new intuitive fuzzy PROMETHEE model is proposed. The model uses intuitionistic fuzzy numbers to express the decision-maker's semantic evaluation information, and establishes a trust function based on the evaluation information to determine the decision-maker's weight. Then, use the method of maximizing the net flow to obtain the attribute weight. Finally, gather the evaluation information to obtain the decision group's pros and cons. The validity and feasibility of the model is verified by an example.