Multiplicative Consistency and DEA Cross-Efficiency-Driven Decision-Making Method with Fuzzy Preference Relations

Owing to the uncertainty and vagueness of practical decision-making problems, it is more convenient for decision-makers (DMs) express evaluation information with fuzzy preference relations (FPRs) than precise numerical values. As two important issues in process FPRs, improving consistency acquiring priority weights are worth further studying. In this paper, we first provide an approach constructing FPR multiplicative consistency, then algorithm presented generate acceptable FPR, which initial retained largest extent through local adjustment strategy. Then, input-oriented CCR DEA model developed derive weight vector alternatives, followed that a cross-efficiency constructed discriminate multiple efficient DMUs. Subsequently, complete rankings alternatives can be generated by novel DEA-driven method. Finally, example proposed verify feasibility effectiveness The advantages method performed comparative analysis sensitivity analysis.