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Data Envelopment Analysis with R (Hardcover, 1st ed. 2020) Loot Price: R2,868
Discovery Miles 28 680
Repayment Terms: R269 pm x 12*
You Save: R685 (19%)
Data Envelopment Analysis with R (Hardcover, 1st ed. 2020): Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi,...

Data Envelopment Analysis with R (Hardcover, 1st ed. 2020)

Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas

Series: Studies in Fuzziness and Soft Computing, 386

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List price R3,553 Loot Price R2,868 Discovery Miles 28 680 | Repayment Terms: R269 pm x 12* You Save R685 (19%)

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Fuzziness and Soft Computing, 386
Release date: August 2019
First published: 2020
Authors: Farhad Hosseinzadeh Lotfi • Ali Ebrahimnejad • Mohsen Vaez-Ghasemi • Zohreh Moghaddas
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 236
Edition: 1st ed. 2020
ISBN-13: 978-3-03-024276-3
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-024276-5
Barcode: 9783030242763

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