文章基本信息

标题：An input relaxation model for evaluating congestion in fuzzy DEA
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作者：Kheirollahi, Hooshang ; Hessari, Peyman ; Charles, Vincent 等
期刊名称：Croatian Operational Research Review
印刷版ISSN：1848-0225
出版年度：2017
卷号：8
期号：2
页码：391-408
DOI：10.17535/crorr.2017.0025
语种：English
出版社：Croatian Operational Research Society
摘要：This paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determine input congestion based on the BCC input relaxation model. A numerical example is given to illustrate the proposed model and identify the congestion with precise and imprecise data. The proposed model is also used to determine the congestion in 16 hospitals using four fuzzy inputs and two fuzzy outputs with a symmetrical triangular membership function.
关键词：fuzzy data envelopment analysis (FDEA); congestion; relaxed inputs