Paper Info
Title
Fuzzy data envelopment analysis: A fuzzy expected value approach
Abstract
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).
Year
DOI
Venue
2011
10.1016/j.eswa.2011.03.049
Expert Syst. Appl.
Keywords
Field
DocType
double frontier analysis (dfa),expected value,proposed fuzzy expected value,flexible manufacturing system,fuzzy expected values,fuzzy data,fuzzy input,fuzzy environment,fuzzy output,fuzzy data envelopment analysis,numerical example,data envelopment analysis,performance assessment,fuzzy expected value approach,data envelope analysis
Data mining,Defuzzification,Ranking,Fuzzy set operations,Computer science,Fuzzy logic,Expected value,Data envelopment analysis,Flexible manufacturing system,Adaptive neuro fuzzy inference system
Journal
Volume
Issue
ISSN
38
9
Expert Systems With Applications
Citations 
PageRank 
References 
25
0.80
20
Authors
2
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69