Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
Download or Read eBook Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis PDF written by Joe Zhu and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 334 pages. Available in PDF, EPUB and Kindle.
| Author | : Joe Zhu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 334 |
| Release | : 2007-06-08 |
| ISBN-10 | : 9780387716077 |
| ISBN-13 | : 0387716076 |
| Rating | : 4/5 (77 Downloads) |
Book Synopsis Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by : Joe Zhu
Book excerpt: In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.
