An interactive procedure to improve estimate of value efficiency in DEA
•The concept of value efficiency introduced in data envelopment analysis.•The novel algorithm proposed for calculating the value efficiency.•A new approach comes to incorporating preference information in the process of evaluating efficiency.•The value efficiency is calculated based on input and out...
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| Vydáno v: | Expert systems with applications Ročník 137; s. 29 - 45 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
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Elsevier Ltd
15.12.2019
Elsevier BV |
| Témata: | |
| ISSN: | 0957-4174, 1873-6793 |
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| Abstract | •The concept of value efficiency introduced in data envelopment analysis.•The novel algorithm proposed for calculating the value efficiency.•A new approach comes to incorporating preference information in the process of evaluating efficiency.•The value efficiency is calculated based on input and output components.•The method has been applied for real world data.
Value efficiency analysis is an approach to incorporate the Decision-Maker's (DM) priori knowledge (preference information) into efficiency analysis. This paper presents a multi-objective programming model to measure the value efficiency. The model's feasible region is the production possibility set in data envelopment analysis (DEA) and the objective functions are the value efficiency scores corresponding to input and output components. Considering the structure of the proposed model and the concept of value efficiency, the step method (STEM) method to solve the model and gain the value efficiency is used in this paper. By selecting MPU (most preferred unit) units based on the manager's choice, the suitable benchmarks and value efficiency scores could be obtained corresponding to the unit under evaluation, then one could see that the obtained benchmarks and value efficiency scores are strongly dependent on the selected MPU units. Finally, a numerical example is proposed to illustrate the credit of the proposed approach. The method has been applied for real world data. |
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| AbstractList | Value efficiency analysis is an approach to incorporate the Decision-Maker's (DM) priori knowledge (preference information) into efficiency analysis. This paper presents a multi-objective programming model to measure the value efficiency. The model's feasible region is the production possibility set in data envelopment analysis (DEA) and the objective functions are the value efficiency scores corresponding to input and output components. Considering the structure of the proposed model and the concept of value efficiency, the step method (STEM) method to solve the model and gain the value efficiency is used in this paper. By selecting MPU (most preferred unit) units based on the manager's choice, the suitable benchmarks and value efficiency scores could be obtained corresponding to the unit under evaluation, then one could see that the obtained benchmarks and value efficiency scores are strongly dependent on the selected MPU units. Finally, a numerical example is proposed to illustrate the credit of the proposed approach. The method has been applied for real world data. •The concept of value efficiency introduced in data envelopment analysis.•The novel algorithm proposed for calculating the value efficiency.•A new approach comes to incorporating preference information in the process of evaluating efficiency.•The value efficiency is calculated based on input and output components.•The method has been applied for real world data. Value efficiency analysis is an approach to incorporate the Decision-Maker's (DM) priori knowledge (preference information) into efficiency analysis. This paper presents a multi-objective programming model to measure the value efficiency. The model's feasible region is the production possibility set in data envelopment analysis (DEA) and the objective functions are the value efficiency scores corresponding to input and output components. Considering the structure of the proposed model and the concept of value efficiency, the step method (STEM) method to solve the model and gain the value efficiency is used in this paper. By selecting MPU (most preferred unit) units based on the manager's choice, the suitable benchmarks and value efficiency scores could be obtained corresponding to the unit under evaluation, then one could see that the obtained benchmarks and value efficiency scores are strongly dependent on the selected MPU units. Finally, a numerical example is proposed to illustrate the credit of the proposed approach. The method has been applied for real world data. |
| Author | Gerami, Javad |
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| Cites_doi | 10.1016/j.ejor.2013.08.005 10.1016/j.omega.2014.04.002 10.1016/j.ejor.2008.01.013 10.1016/j.eswa.2009.11.066 10.1016/S0377-2217(99)00290-8 10.1057/jors.1988.127 10.1023/A:1018968909638 10.1057/jors.1990.120 10.1016/S0377-2217(02)00458-7 10.1080/02331934.2012.673126 10.1057/jors.1996.12 10.1287/mnsc.44.7.962 10.1016/j.apm.2011.02.027 10.1287/mnsc.44.4.586 10.1016/j.apm.2010.06.007 10.1016/0377-2217(78)90138-8 10.1287/mnsc.45.1.103 10.1016/0377-2217(79)90229-7 10.1007/s10100-008-0071-1 10.1007/BF01584098 10.1016/0304-4076(90)90048-X 10.1016/j.measurement.2014.03.016 10.1016/0304-4076(90)90049-Y 10.1142/S0219622014500916 10.1016/j.cor.2007.10.020 |
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| Keywords | Value function Value efficiency Multiple objective linear programming Data envelopment analysis Efficiency analysis |
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| SubjectTerms | Benchmarks Data envelopment analysis Decision analysis Decision making Economic models Efficiency Efficiency analysis Mathematical programming Multiple objective analysis Multiple objective linear programming Operations research Value efficiency Value function |
| Title | An interactive procedure to improve estimate of value efficiency in DEA |
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