Data Envelopment Analysis with R: 386 (Studies in Fuzziness and Soft Computing, 386) - Hardcover

Book 151 of 183: Studies in Fuzziness and Soft Computing

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

 
9783030242763: Data Envelopment Analysis with R: 386 (Studies in Fuzziness and Soft Computing, 386)

Synopsis

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.

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From the Back Cover

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.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783030242794: Data Envelopment Analysis with R: 386 (Studies in Fuzziness and Soft Computing, 386)

Featured Edition

ISBN 10:  303024279X ISBN 13:  9783030242794
Publisher: Springer, 2020
Softcover