2002•Systems Enging-theory Methodology ApplicationRequires access

The Application of Pareto-Efficiency to DEA Model

Jun Zhang

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Abstract

This paper develops a multiple objective programming model (MOPM) whose objective function is the ratio of DMU's inputs to outputs, and some theorems about the relationship between the pareto efficiency of MOPM and DEA efficiency have been proved. Based on the theorems, more simple DEA model could be used to evaluate DMUs and the computing load could be reduced largely.

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What this paper is about

This paper develops a multiple objective programming model (MOPM) whose objective function is the ratio of DMU's inputs to outputs, and some theorems about the relationship between the pareto efficiency of MOPM and DEA efficiency have been proved. Based on the theorems, more simple DEA model could be used to evaluate DMUs and the computing load could be reduced largely.

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Available abstract

This paper develops a multiple objective programming model (MOPM) whose objective function is the ratio of DMU's inputs to outputs, and some theorems about the relationship between the pareto efficiency of MOPM and DEA efficiency have been proved. Based on the theorems, more simple DEA model could be used to evaluate DMUs and the computing load could be reduced largely.

Key concepts: Pareto principle, Pareto efficiency, Pareto optimal, Simple (philosophy), Mathematical optimization, Function (biology), Mathematics, Computer science

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