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

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 2020
First published:	2020
Authors:	Farhad Hosseinzadeh Lotfi • Ali Ebrahimnejad • Mohsen Vaez-Ghasemi • Zohreh Moghaddas
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	236
Edition:	1st ed. 2020
ISBN-13:	978-3-03-024279-4
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
LSN:	3-03-024279-X
Barcode:	9783030242794

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