论文标题
建模银行绩效：一种新颖的模糊两阶段DEA方法
Modeling bank performance: A novel fuzzy two-stage DEA approach
论文作者
论文摘要
由于它们在每个国家的经济发展中的关键作用，评估银行的绩效一直引起人们的关注。数据包络分析（DEA）已被广泛用于衡量银行分支的性能。在常规的DEA方法中，决策单元（DMU）被视为黑匣子，将输入集转换为输出集，而无需考虑每个DMU内发生的内部交互。两阶段的DEA模型旨在克服这一缺口。因此，本文基于对增强的罗素模型的修改提出了一个新的两阶段DEA模型。另一方面，在许多情况下，例如在制造系统，生产过程或服务系统中，输入，中间体和输出可以作为模糊变量给出。本文的主要目的是建立并提出一种新的模糊两阶段DEA模型，以衡量Hamedan省Melli Bank 15个分支机构的效率。
Evaluating the banks' performance has always been of interest due to their crucial role in the economic development of each country. Data envelopment analysis (DEA) has been widely used for measuring the performance of bank branches. In the conventional DEA approach, decision making units (DMUs) are regarded as black boxes that transform sets of inputs into sets of outputs without considering the internal interactions taking place within each DMU. Two-stage DEA models are designed to overcome this shortfall. Thus, this paper presented a new two-stage DEA model based on a modification on Enhanced Russell Model. On the other hand, in many situations, such as in a manufacturing system, a production process or a service system, inputs, intermediates and outputs can be given as a fuzzy variable. The main aim of this paper is to build and present a new fuzzy two-stage DEA model for measuring the efficiency of 15 branches of Melli bank in Hamedan province.
