A data envelopment model for aggregating preference rankings
Management Science
A procedure for ranking efficient units in data envelopment analysis
Management Science
Academic departments efficiency via DEA
Computers and Operations Research
Public Sector Efficiency Measurement: Applications of Data Envelopment Analysis
Public Sector Efficiency Measurement: Applications of Data Envelopment Analysis
Journal of Computational and Applied Mathematics
A systematic procedure to obtain a preferable and robust ranking of units
Computers and Operations Research
Ranking of units by positive ideal DMU with common weights
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Common weights for fully ranking decision making units by regression analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ranking of candidates in the preferential voting framework based on a new approach
ASM'12 Proceedings of the 6th international conference on Applied Mathematics, Simulation, Modelling
International Journal of Automation and Computing
Allocating fixed resources and setting targets using a common-weights DEA approach
Computers and Industrial Engineering
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Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision-making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. This research proposes a methodology to determine one common set of weights for the performance indices of only DEA efficient DMUs. Then, these DMUs are ranked according to the efficiency score weighted by the common set of weights. For the decision maker, this ranking is based on the optimization of the group's efficiency.