Fuzzy data envelopment analysis : A fuzzy expected value approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Original languageEnglish
Pages (from-to)11678-11685
Journal / PublicationExpert Systems with Applications
Issue number9
Publication statusPublished - Sep 2011


Performance assessment often has to be conducted under uncertainty. This paper proposes a "fuzzy expected value approach" for data envelopment analysis (DEA) in which fuzzy inputs and fuzzy outputs are first weighted, respectively, and their expected values then used to measure the optimistic and pessimistic efficiencies of decision making units (DMUs) in fuzzy environments. The two efficiencies are finally geometrically averaged for the purposes of ranking and identifying the best performing DMU. The proposed fuzzy expected value approach and its resultant models are illustrated with three numerical examples, including the selection of a flexible manufacturing system (FMS). © 2011 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Double frontier analysis (DFA), Flexible manufacturing system, Fuzzy data envelopment analysis, Fuzzy expected values