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.
Highlights
The preference ranking organization methods for enrichment evaluation (PROMETHEE) is a new multiattribute decision-making method which can scientifically and reasonably evaluate the quality performance of the supply chain. reference [2] enhances the PROMETHEE by integrating with a conflict analysis to solve general multiple-criteria decision-making problems with both quantitative and qualitative criteria
Because intuitionistic fuzzy sets take into account both membership, non-membership and hesitation, its advantage over traditional fuzzy sets is that it can better characterize the uncertainty in decision makers' evaluation
According to the evaluation value, attribute weight and preference function given by the decision maker, this method obtains the inflow, outflow and net flow of each scheme by pairwise comparison of the attribute values under each attribute between two schemes, and the order of pros and cons of the scheme is obtained according to the order of the net traffic
Summary
The preference ranking organization methods for enrichment evaluation (PROMETHEE) is a new multiattribute decision-making method which can scientifically and reasonably evaluate the quality performance of the supply chain. reference [2] enhances the PROMETHEE by integrating with a conflict analysis to solve general multiple-criteria decision-making problems with both quantitative and qualitative criteria. Reference [2] enhances the PROMETHEE by integrating with a conflict analysis to solve general multiple-criteria decision-making problems with both quantitative and qualitative criteria. Because intuitionistic fuzzy sets take into account both membership, non-membership and hesitation, its advantage over traditional fuzzy sets is that it can better characterize the uncertainty in decision makers' evaluation. This paper introduces the intuitionistic fuzzy set theory into traditional PROMETHEE, and establishes a decision weight model that takes the difference and uncertainty of decision information as the objective function to determine the objective decision weights of different decision makers. The sum of the net flow gap of the decision maker is maximized to solve the attribute weights. The pros and cons of different evaluation schemes are obtained by aggregating group decision information and attribute weights
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