A procedure for ranking efficient units in data envelopment analysis
Management Science
Fuzzy DEA: a perceptual evalution method
Fuzzy Sets and Systems
Data Envelopment Analysis using Fuzzy Concept
ISMVL '98 Proceedings of the The 28th International Symposium on Multiple-Valued Logic
A simple approximation of productivity scores of fuzzy production plans
Fuzzy Sets and Systems
Interval efficiency assessment using data envelopment analysis
Fuzzy Sets and Systems
Ranking efficient decision-making units in data envelopment analysis using fuzzy concept
Computers and Industrial Engineering
Fuzzy data envelopment analysis: A discrete approach
Expert Systems with Applications: An International Journal
Fuzzy rough DEA model: A possibility and expected value approaches
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Data Envelopment Analysis (DEA) is recognized as a modern approach to the assessment of performance of a set of homogeneous Decision Making Units (DMUs) that use similar sources to produce similar outputs. While DEA commonly is used with precise data, recently several approaches are introduced for evaluating DMUs with uncertain data. In the existing approaches many information on uncertainties are lost. For example in the defuzzification, the @a-level and fuzzy ranking approaches are not considered. In the tolerance approach the inequality or equality signs are fuzzified but the fuzzy coefficients (inputs and outputs) are not treated directly. The purpose of this paper is to develop a new model to evaluate DMUs under uncertainty using Fuzzy DEA and to include @a-level to the model under fuzzy environment. An example is given to illustrate this method in details.