Network data envelopment analysis (DEA) concerns using the DEA technique to measure the relative efficiency of a system, taking into account its internal structure. The results are more meaningful and informative than those obtained from the conventional DEA models. This work proposed a new network DEA model based on the fuzzy concept even though the inputs and outputs data are crisp numbers. The model is then extended to investigate the network DEA with fuzzy non-discretionary variables. An illustrative application assessing the impact of information technology (IT) on firm performance is included. The results reveal that modeling the IT budget as a fuzzy non-discretionary factor improves the system performance of firms in a banking industry.

中文翻译：

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具有模糊非决定性因素的网络数据包络分析

网络数据包络分析（DEA）涉及使用DEA技术来衡量系统的相对效率，同时考虑其内部结构。与从常规DEA模型获得的结果相比，该结果更加有意义和有用。这项工作提出了一个基于模糊概念的新的网络DEA模型，即使输入和输出数据都是清晰的数字。然后对该模型进行扩展，以研究具有模糊非必需变量的网络DEA。包括一个说明性应用程序，用于评估信息技术（IT）对公司绩效的影响。结果表明，将IT预算建模为模糊的非自由裁量因子可以提高银行业公司的系统绩效。