Using lexicographic parametric programming for identifying efficient units in DEA
Computers and Operations Research
A new method based on the dispersion of weights in data envelopment analysis
Computers and Industrial Engineering
A dimensional decomposition approach to identifying efficient units in large-scale DEA models
Computers and Operations Research
Multiobjective target setting in data envelopment analysis using AHP
Computers and Operations Research
Using interactive multiobjective methods to solve DEA problems with value judgements
Computers and Operations Research
Improving the discrimination power and weights dispersion in the data envelopment analysis
Computers and Operations Research
Relationship between MOLP and DEA based on output-orientated CCR dual model
Expert Systems with Applications: An International Journal
Target setting in the general combined-oriented CCR model using an interactive MOLP method
Journal of Computational and Applied Mathematics
Knowledge matters: Restrictiveness and performance with decision support
Decision Support Systems
Fuzzy dynamic multi-objective Data Envelopment Analysis model
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Convex cone-based partial order for multiple criteria alternatives
Decision Support Systems
Computers and Operations Research
Solving the multi-response problem in Taguchi method by benevolent formulation in DEA
Journal of Intelligent Manufacturing
The relevance of DEA benchmarking information and the Least-Distance Measure
Mathematical and Computer Modelling: An International Journal
An interactive benchmark model ranking performers - Application to financial holding companies
Mathematical and Computer Modelling: An International Journal
A new network epsilon-based DEA model for supply chain performance evaluation
Computers and Industrial Engineering
Mutual fund performance evaluation: a value efficiency analysis approach
International Journal of Electronic Finance
Interactive minimax optimisation for integrated performance analysis and resource planning
Computers and Operations Research
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We develop a procedure and the requisite theory for incorporating preference information in a novel way in the efficiency analysis of Decision Making Units. The efficiency of Deci sion Making Units is defined in the spirit of Data Envelopment Analysis (DEA), complemented with Decision Maker's preference information concerning the desirable structure of inputs and outputs. Our procedure begins by aiding the Decision Maker in searching for the most preferred combination of inputs and outputs of Decision Making Units (for short, Most Preferred Solution) which are efficient in DEA. Then, assuming that the Decision Maker's Most Preferred Solution maximizes his/her underlying (unknown) value function, we approximate the indifference contour of the value function at this point with its possible tangent hyperplanes. Value Efficiency scores are then calculated for each Decision Making Unit comparing the inefficient units to units having the same value as the Most Preferred Solution. The resulting Value Efficiency scores are optimistic approximations of the true scores. The procedure and the resulting efficiency scores are immediately applicable to solving practical problems.