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中译英 带子系统的模糊DEA模型及其在中国物流发展中的应用研究 Fuzzy DEA with subsystem and its application in logistics development of China 随着经济全球化进程的加快，在国民经济体中现代物流业正在迅速发展，作为一个新兴的服务产业正发挥着越来越重要的作用。物流业正在不断推动经济的发展，已成为一个国家综合国力和现代化程度的重要衡量标志，被认为是发展国民经济的动脉和基础产业。区域物流不仅对区域经济发展起着基础性的作用，而且影响和制约着整个区域经济运行的速度和效益，决定着区域经济竞争力的强弱。因此，系统、科学地评价区域的物流发展状况，找出阻碍物流发展的因素，提出相应的改进方案，就显得十分重要。 With the development of globalization, modern logistics is developing fast in national economy, and the modern logistics is playing more and more important role in emerging service industry. Logistics is promoting the economic development and it has become the important sign to evaluate the comprehensive national power and modernization, and it is considered the base of nationally economic development and underpinning industry. Regional logistics not only plays the basic function on regionally economic development, but also it effects the pace and efficiency of the whole economic development and decide the power of economy. DEA方法具有明显的独特优势，成为了一种评价区域物流发展的有效方法。在评价区域物流发展过程中，DEA方法取得了许多重要成果。但在处理子系统，数据模糊性以及带子系统的决策单元改进等方面，传统的DEA模型还存在不足。针对这些不足，本文构建了带子系统的DEA评价模型，最大程度保留指标数据的模糊信息，模型充分考虑到子系统与大系统之间的关系DEA method has obvious advantages. DEA has become an effective method for evaluation of sustainable development. DEA method has achieved many important results in the evaluation of sustainable development. However, in terms of subsystem, ambiguity of the data and improvement of the decision-making unit in the subsystem, the traditional DEA model is still insufficient. For these shortcomings, we construct the Fuzzy DEA model with subsystem, which can reserve the maximum information of the fuzzy data and take full account of the relationship between the subsystems and the large system. 首先，论文提出了带子系统模糊DEA评价模型（包括区域物流供给系统模糊DEA评价模型、区域物流需求系统模糊DEA评价模型、区域技术效率系统模糊DEA评价模型）和带子系统模糊DEA排序模型。 首先，运用论文所构建的模型共分为四个阶段：求解子系统的相对效率值、求解大系统的相对效率值、对模糊相对效率值进行排序模糊DEA无效决策单元的改进。通过评价子系统的运行效率，从而判断决策单元大系统的运行效率。DEA评价模型进行求解。forward the DEA evaluating model with subsystem (including the DEA