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Data Envelopment Analysis with R. 2020 ed.
・ISBN 978-3-030-24276-3 hard EUR 149.99
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| 著者・編者 | Hosseinzadeh Lotfi, Farhad / Ebrahimnejad, Ali / Vaez-Ghasemi, Mohsen / Moghaddas, Zohreh, |
|---|---|
| シリーズ | (Studies in Fuzziness and Soft Computing) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2019 |
| ページ数 | 236 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-71702＞ |
解説
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.