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An Overview of the Fuzzy Data Envelopment Analysis Research and Its Successful Applications
International Journal of Fuzzy Systems ( IF 3.6 ) Pub Date : 2020-04-17 , DOI: 10.1007/s40815-020-00853-6
Wei Zhou , Zeshui Xu

Data envelopment analysis (DEA) is a prominent technique to make decisions and improve alternatives based on non-parameter modeling and ratio calculation. However, an obvious difficulty to use this method is how to obtain accurate input and output data in the real application. To address this issue, the fuzzy DEAs (FDEAs) are proposed which have been successfully applied in many real fields. The FDEAs hold two aforementioned advantages; meanwhile, it can conveniently present uncertain evaluation information. Therefore, the FDEAs have received much attention from researchers. To summarize the current status, development trends, and further studies of the FDEA research, this paper investigates the related publications from two perspectives of description analysis and literature review, which includes the following details: (1) the literature retrospective analysis of the FDEA with bibliometric technique. Based on it, the publication overview, the cluster network, the emerging trend, and the burst detection are demonstrated in detail. (2) The method review of the basic FDEAs and two kinds of extended FDEAs. These FDEAs are proposed by introducing different fuzzy inputs and outputs, developing different theoretical DEAs, and integrating different mathematical models, respectively. (3) The application review of the FDEAs in some real-life situations. The obtained results provide some clues for researchers who are interested in the FDEA research to do further investigations on theory development and practical applications.

中文翻译:

模糊数据包络分析研究及其成功应用综述

数据包络分析(DEA)是一种基于非参数建模和比率计算来做出决策并改进替代方案的杰出技术。但是,使用此方法的一个明显困难是如何在实际应用中获取准确的输入和输出数据。为了解决这个问题,提出了模糊DEA(FDEA),该方法已成功应用于许多实际领域。FDEA具有上述两个优点;同时,它可以方便地呈现不确定的评估信息。因此,FDEA受到了研究人员的广泛关注。为了总结FDEA研究的现状,发展趋势和进一步的研究,本文从描述分析和文献综述两个角度对相关出版物进行了研究,其中包括以下细节:(1)用文献计量学方法对FDEA进行文献回顾性分析。在此基础上,详细演示了出版物概述,群集网络,新兴趋势和突发检测。(2)基本FDEA和两种扩展FDEA的方法回顾。通过分别引入不同的模糊输入和输出,开发不同的理论DEA以及集成不同的数学模型来提出这些FDEA。(3)在某些现实情况下对FDEA的应用程序进行审查。所得结果为对FDEA研究感兴趣的研究人员提供了一些线索,可以对理论发展和实际应用进行进一步研究。详细介绍了突发检测。(2)基本FDEA和两种扩展FDEA的方法回顾。通过分别引入不同的模糊输入和输出,开发不同的理论DEA以及集成不同的数学模型来提出这些FDEA。(3)在某些现实情况下对FDEA的应用程序进行审查。所得结果为对FDEA研究感兴趣的研究人员提供了一些线索,可以对理论发展和实际应用进行进一步研究。详细介绍了突发检测。(2)基本FDEA和两种扩展FDEA的方法回顾。通过分别引入不同的模糊输入和输出,开发不同的理论DEA以及集成不同的数学模型来提出这些FDEA。(3)在某些现实情况下对FDEA的应用程序进行审查。所得结果为对FDEA研究感兴趣的研究人员提供了一些线索,可以对理论发展和实际应用进行进一步研究。(3)在某些现实情况下对FDEA的应用程序进行审查。所得结果为对FDEA研究感兴趣的研究人员提供了一些线索,可以对理论发展和实际应用进行进一步研究。(3)在某些现实情况下对FDEA的应用程序进行审查。所得结果为对FDEA研究感兴趣的研究人员提供了一些线索,可以对理论发展和实际应用进行进一步研究。
更新日期:2020-04-17
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