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Studies in Fuzziness and Soft Computing

Data Envelopment Analysis with R

Authors: Hosseinzadeh Lotfi, F., Ebrahimnejad, A., Vaez-Ghasemi, M., Moghaddas, Z.

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  • Introduces basic R codes to solve optimization problems
  • Describes DEA models in crisp and fuzzy environments
  • Mathematical models are illustrated by several examples
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eBook $119.00
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  • ISBN 978-3-030-24277-0
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  • Immediate eBook download after purchase
Hardcover $159.99
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  • ISBN 978-3-030-24276-3
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  • Usually dispatched within 3 to 5 business days.
About this book

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 (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-030-24277-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA
  • ISBN 978-3-030-24276-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Data Envelopment Analysis with R
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
386
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-24277-0
DOI
10.1007/978-3-030-24277-0
Hardcover ISBN
978-3-030-24276-3
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XIV, 236
Number of Illustrations
70 b/w illustrations, 1 illustrations in colour
Topics