论文标题
使用混合模糊的多目标数据包络分析对DMU的性能评估
Performance evaluation of DMUs using hybrid fuzzy multi-objective data envelopment analysis
论文作者
论文摘要
本文的目的是使用混合模糊多目标（FMO）数据包络分析（DEA）方法评估决策单元（DMU）的性能。这项研究开发了模糊的多目标乐观（FMOO）和悲观（FMOP）DEA模型，用于DMU的性能评估。为了对DMU进行排名，使用一种可以同时整合乐观和悲观效率的排名方法。在一个示例的帮助下，将提出方法与现有方法进行比较。最后，提出了在教育部门中发达的模糊乐观和悲观的DEA模型的现实应用。
The objective of this paper is to evaluate the performance of decision-making units (DMUs) using a hybrid fuzzy multi-objective (FMO) data envelopment analysis (DEA) approach. This study develops fuzzy multi-objective optimistic (FMOO) and pessimistic (FMOP) DEA models for performance evaluation of DMUs. To rank the DMUs, a ranking approach is used that can simultaneously integrate optimistic and pessimistic efficiencies. A comparison of the proposed approach with the existing approach is made with the help of an example. Finally, a real-life application of developed fuzzy optimistic and pessimistic DEA models in the education sector is presented.
