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Data Envelopment Analysis with R
~
Ebrahimnejad, Ali.
Data Envelopment Analysis with R
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data Envelopment Analysis with R/ by Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas.
作者:
Hosseinzadeh Lotfi, Farhad.
其他作者:
Moghaddas, Zohreh.
面頁冊數:
XIV, 236 p. 71 illus., 1 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Engineering Economics, Organization, Logistics, Marketing. -
電子資源:
https://doi.org/10.1007/978-3-030-24277-0
ISBN:
9783030242770
Data Envelopment Analysis with R
Hosseinzadeh Lotfi, Farhad.
Data Envelopment Analysis with R
[electronic resource] /by Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, Zohreh Moghaddas. - 1st ed. 2020. - XIV, 236 p. 71 illus., 1 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3861434-9922 ;. - Studies in Fuzziness and Soft Computing,319.
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:
669171
Engineering Economics, Organization, Logistics, Marketing.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Data Envelopment Analysis with R
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