DEA Models via Goal Programming

Wenbin Liu · John Sharp

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Efficiency Analysis Using DEA Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

In this paper, we investigate the relationship between Data Envelopment Analysis (DEA) and Multiple Criteria Decision Making Theory. We re-examine DEA models from a goal programming perspective. It has been shown in this work that many known DEA models and new ones, can be derived via this approach. As an illustrative application of the approach, the effectiveness of some antidepressant pharmacotherapies is examined using one of the DEA models derived in this work.

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1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 1985Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions 1978Measuring the technical efficiency of production 1996Data envelopment analysis: The evolution of the state of the art (1978?1995)1989Cone ratio data envelopment analysis and multi-objective programming 1990Translation invariance in data envelopment analysis 1988Measurement in Economics

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