کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
476914 1446093 2011 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making
چکیده انگلیسی

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. Crisp input and output data are fundamentally indispensable in conventional DEA. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Many researchers have proposed various fuzzy methods for dealing with the imprecise and ambiguous data in DEA. In this study, we provide a taxonomy and review of the fuzzy DEA methods. We present a classification scheme with four primary categories, namely, the tolerance approach, the α-level based approach, the fuzzy ranking approach and the possibility approach. We discuss each classification scheme and group the fuzzy DEA papers published in the literature over the past 20 years. To the best of our knowledge, this paper appears to be the only review and complete source of references on fuzzy DEA.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 214, Issue 3, 1 November 2011, Pages 457–472
نویسندگان
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