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Data Envelopment Analysis with R

Author: Farhad Hosseinzadeh Lotfi; Ali Ebrahimnejad; Mohsen Vaez-Ghasemi; Zohreh Moghaddas
Publisher: Cham, Switzerland : Springe, [2020]
Series: Studies in fuzziness and soft computing, v. 386.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Farhad Hosseinzadeh Lotfi; Ali Ebrahimnejad; Mohsen Vaez-Ghasemi; Zohreh Moghaddas
ISBN: 9783030242770 3030242773
OCLC Number: 1110278675
Description: 1 online resource (XIV, 236 p. 71 illus., 1 illus. in color.) online resource.
Contents: Introduction to Data Envelopment Analysis and Fuzzy Sets --
Introductions and Definitions of R --
Basic DEA Models with R Codes --
Advanced DEA Models with R Codes --
Fuzzy Data Envelopment Analysis Models with R Codes.
Series Title: Studies in fuzziness and soft computing, v. 386.
Responsibility: Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas.

Abstract:

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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