模糊DEA模型是用于解决存在模糊数据的决策单元(DMUs)效率评价问题的,然而现有的模糊DEA模型分辨率低,本文构建了存在保证域的模糊超效率DEA模型,并给出了一种基于截集的求解方法并进行了证明,该模型有效地解决了输入和输出全部或部分为模糊数的决策单元全排序问题。最后给出了一个银行效率评价的实例说明了方法的有效性。
Fuzzy DEA models is used to assess decision making units (DMUs) with fuzzy data. However previously proposed fuzzy DEA model may result in more than one efficient DMUs. In order to solve this problem, a fuzzy super-efficiency DEA-AR model is proposed. An algorithm to determine the lower and upper bounds of fuzzy efficiency scores at given α levels is proposed. The proposed model and solution approach are applied to evaluate the performance of banks in the end.