An Assurance Interval for the Non-Archimedean Epsilon in DEA Models
Operations Research
A polynomial-time algorithm for finding ɛ in DEA models
Computers and Operations Research
Information Sciences: an International Journal
A new method for ranking discovered rules from data mining by DEA
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A robust optimization approach for imprecise data envelopment analysis
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
A new DEA method for supplier selection in presence of both cardinal and ordinal data
Expert Systems with Applications: An International Journal
Allocating fixed resources and setting targets using a common-weights DEA approach
Computers and Industrial Engineering
Computers and Industrial Engineering
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In many applications of DEA finding the most efficient DMUs is desirable. This paper presents an improved integrated DEA model in order to detect the most efficient DMUs. The proposed integrated DEA model does not use the trial and error method in the objective function. Also, it is able to find the most efficient DMUs without solving the model n times (one linear programming (LP) for each DMU) and therefore allows the user to get faster results. It is shown that the improved integrated DEA model is always feasible and capable to rank the most efficient one. To illustrate the model capability the proposed methodology is applied to a real data set consisting of the 19 facility layout alternatives.