Data envelopment analysis for efficiency measurement in the stochastic case
Computers and Operations Research
Fuzzy optimization: an appraisal
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy linear programming with single or multiple objective funtions
Fuzzy sets in decision analysis, operations research and statistics
Fuzzy efficiency measures in data envelopment analysis
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
Fuzzy DEA: a perceptual evalution method
Fuzzy Sets and Systems
Programming Microsoft Office 2000 Web Components with Cdrom
Programming Microsoft Office 2000 Web Components with Cdrom
Uncertain Programming
A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA
Journal of Computational and Applied Mathematics
Expert Systems with Applications: An International Journal
A parametric approach to fuzzy linear programming
Fuzzy Sets and Systems
Inequality relation between fuzzy numbers and its use in fuzzy optimization
Fuzzy Sets and Systems
Super-efficiency in stochastic data envelopment analysis: An input relaxation approach
Journal of Computational and Applied Mathematics
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While data envelopment analysis (DEA) models are very sensitiveto possible data errors, in many real applications, the data of production processes cannot be precisely measured. Fuzzy DEA is asuccessful method that allows to deal with imprecise data in DEA. In this paper, we develop fuzzy version of the input relaxation model introduced in Jahahshahloo and Khodabakhshi [15] by using some ranking methods based on the comparison of α-cuts. The resulting auxiliary crisp problems can be solved by the usual DEA software. It is shown that, using a numerical example, how the proposed model become specially useful for detecting sensitive decision-making units.