Titlebook: Data Envelopment Analysis with R; Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Zohreh Book 2020 Springer Nature Switzerland AG 2020 Fuzzy O

micronized

https://doi.org/10.1007/978-3-030-24277-0Fuzzy Optimization; FDEA Models with R; DEA Models with R; DEA with Real Data; Project Selection with DE

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Extort

1434-9922 nted reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers..978-3-030-24279-4978-3-030-24277-0Series ISSN 1434-9922 Series E-ISSN 1860-0808

外星人

吸氣

HACK

PET in Cardiology: Clinical Backgroundlp different aspects of analytics and decision making units in performance evaluation. In this chapter, such developed DEA models are formulated, and then the corresponding R codes for these models are provided.

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圓木可阻礙

1434-9922 ated by several examples.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

engender

PALMY

Book 2020ent 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