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Fuzzy DEA Based on Team Reasoning for the Efficiency Evaluation of A Logistics Enterprise

This paper proposes an improved method of data envelopment analysis (DEA) for the efficiency evaluation considering the thinking of team reasoning and the fuzzy information. On the one hand, team reasoning is introduced to reflect that the overall efficiency of the team is more important than that of the individual decision making units (DMUs). On the other hand, in real decision making process, not all the evaluations can be expressed by using precise information, fuzzy information may be more suitable to be used. The interval numbers are used to character the evaluations of inputs and outputs of DMUs, and then models are established to calculate the overall efficiency of the team. The interval efficiency of each DMU is further calculated with the condition that the overall efficiency of the team is satisfied. The method is finally applied in the efficiency evaluation of a logistics enterprise.