| Data Envelopment Analysis with R 2020 Edition Contributor(s): Hosseinzadeh Lotfi, Farhad (Author), Ebrahimnejad, Ali (Author), Vaez-Ghasemi, Mohsen (Author) |
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ISBN: 3030242765 ISBN-13: 9783030242763 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: August 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Mathematics | Applied - Business & Economics | Operations Research |
| Dewey: 006.3 |
| Series: Studies in Fuzziness and Soft Computing |
| Physical Information: 0.63" H x 6.14" W x 9.21" (1.17 lbs) 236 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers. |