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Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

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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. The analysis of an array of these problems has been resistant to other methodological approaches because of the multiple levels of complexity that must be considered. Several examples of multifaceted problems in which DEA analysis has been successfully used ...

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Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
2010, Springer, New York, NY

ISBN-13: 9781441944009

Trade paperback

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
2007, Springer, New York, NY

ISBN-13: 9780387716060

2007 edition

Hardcover

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