Data Envelopment Analysis with R

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

• Publisher: Springer International Publishing
• Year: 2020
• Tongue: English
• Leaves: 248
• Series: Studies in Fuzziness and Soft Computing 386
• Edition: 1st ed.
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter ....Pages i-xiv
Introduction to Data Envelopment Analysis and Fuzzy Sets (Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas)....Pages 1-17
Introductions and Definitions of R (Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas)....Pages 19-52
Basic DEA Models with R Codes (Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas)....Pages 53-98
Advanced DEA Models with R Codes (Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas)....Pages 99-162
Fuzzy Data Envelopment Analysis Models with R Codes (Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas)....Pages 163-236

✦ Subjects

Engineering; Computational Intelligence; Optimization; Operations Research/Decision Theory; Engineering Economics, Organization, Logistics, Marketing