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Data envelopment analysis with R

Hosseinzadeh Lotfi, Farhad.

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Data envelopment analysis with R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data envelopment analysis with R/ by Farhad Hosseinzadeh Lotfi ... [et al.].
other author:	Hosseinzadeh Lotfi, Farhad.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiv, 236 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data envelopment analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-24277-0
ISBN:	9783030242770

Data envelopment analysis with R
Data envelopment analysis with R[electronic resource] /by Farhad Hosseinzadeh Lotfi ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 236 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3861434-9922 ;. - Studies in fuzziness and soft computing ;v.386..

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.

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.

ISBN: 9783030242770

Standard No.: 10.1007/978-3-030-24277-0doiSubjects--Topical Terms:

630049
Data envelopment analysis.

LC Class. No.: HA31.38

Dewey Class. No.: 519.72

Data envelopment analysis with R
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245 0 0 $a Data envelopment analysis with R $h [electronic resource] / $c by Farhad Hosseinzadeh Lotfi ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 236 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.386
505 0 $a 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.
520 $a 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.
650 0 $a Data envelopment analysis. $3 630049
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Optimization. $3 891104
650 2 4 $a Operations Research/Decision Theory. $3 890895
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 891023
700 1 $a Hosseinzadeh Lotfi, Farhad. $3 3443394
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.386. $3 3443395
856 4 0 $u https://doi.org/10.1007/978-3-030-24277-0
950 $a Intelligent Technologies and Robotics (Springer-42732)