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
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
Fuzzy dynamic multi-objective Data Envelopment Analysis model
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Operations Research
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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The concept of efficiency as it applies to Decision Making Units (DMUs), solutions, alternatives plays an important role both in Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP). Despite this and other apparent similarities, DEA and MOLP research has developed separately. We show that structurally the DEA formulation to identify efficient units is quite similar to the MOLP model based on the reference point or the reference direction approach to generate efficient solutions. DEA and MOLP should not be seen as substitutes, but rather as complements. We show that they cross-fertilize each other. MOLP provides interesting extensions to DEA and DEA provides new areas of application to MOLP.