Paper Info
Title
Fuzzy data envelopment analysis based upon fuzzy arithmetic with an application to performance assessment of manufacturing enterprises
Abstract
Data envelopment analysis (DEA) requires input and output data to be precisely known. This is not always the case in real applications. This paper proposes two new fuzzy DEA models constructed from the perspective of fuzzy arithmetic to deal with fuzziness in input and output data in DEA. The new fuzzy DEA models are formulated as linear programming models and can be solved to determine fuzzy efficiencies of a group of decision-making units (DMUs). An analytical fuzzy ranking approach is developed to compare and rank the fuzzy efficiencies of the DMUs. The proposed fuzzy DEA models and ranking approach are applied to evaluate the performances of eight manufacturing enterprises in China.
Year
DOI
Venue
2009
10.1016/j.eswa.2008.06.102
Expert Syst. Appl.
Keywords
Field
DocType
ranking approach,fuzzy input and fuzzy output data,new fuzzy dea model,linear programming model,output data,data envelopment analysis,proposed fuzzy dea model,fuzzy data,decision-making unit,fuzzy efficiency,analytical fuzzy ranking approach,fuzzy arithmetic,performance assessment,fuzzy ranking approach,linear program,data envelope analysis
Data mining,Fuzzy arithmetic,Ranking,Fuzzy set operations,Computer science,Manufacturing enterprises,Fuzzy logic,Input/output,Linear programming,Data envelopment analysis
Journal
Volume
Issue
ISSN
36
3
Expert Systems With Applications
Citations 
PageRank 
References 
51
1.48
17
Authors
3
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Ying Luo246720.48
Liang Liang3134492.90