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Inverse DEA under inter-temporal dependence using multiple-objective programming
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DOI：10.1016/j.ejor.2014.07.002.png)
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This paper deals with the inverse Data Envelopment Analysis (DEA) under inter-temporal dependence assumption. Both problems, input-estimation and output-estimation, are investigated. Necessary and sufficient conditions for input/output estimation are established utilizing Pareto and weak Pareto solutions of linear multiple-objective programming problems. Furthermore, in this paper we introduce a new optimality notion for multiple-objective programming problems, periodic weak Pareto optimality. These solutions are used in inverse DEA, and it is shown that these can be characterized by a simple modification in weighted sum scalarization tool. (C) 2014 Elsevier B.V. All rights reserved.
Keyword:
Data envelopment analysis
Inverse DEA
Inter-temporal dependence
Multiple-objective linear programming
Efficiency
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6
论文数:
2.2W
被引数:
6.4W
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