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Modeling data irregularities and structural complexities in data envelopment analysis
In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a whole variety of problems in many different contexts worldwide. This book deals with the micro...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2007
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| Acceso en línea: | http://cds.cern.ch/record/2283317 |