A Novel Approach for Efficiency Evaluation in Data Envelopment Analysis Framework with Fuzzy Stochastic Variables

Data envelopment analysis (DEA) is a widely used approach for evaluating the relative efficiency of decision-making units (DMUs) in multiple-input and multiple-output situations. Although traditional DEA models use precise input–output data, real-world problems often involve mixed uncertainties, inc...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 27; H. 3; S. 866 - 881
Hauptverfasser:	Huang, Lizhen, Chen, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Heidelberg Springer Nature B.V 01.04.2025
Schlagworte:	Constraints Data analysis Data envelopment analysis Decision making Efficiency Equivalence Evaluation Feasibility Fuzzy sets Set theory Variables
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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