Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis - Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffari, Javad Gerami

Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

Buch | Softcover
XIV, 180 Seiten
2024
Springer International Publishing (Verlag)
978-3-031-43183-8 (ISBN)
149,79 inkl. MwSt
The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.

Relationship between DEA models without explicit inputs and DEA-R models.- Finding efficient surfaces in DEA-R models.- Cost and revenue efficiency in DEA-R models.- A Novel Slack-Based Model for Efficiency and Super-efficiency in DEA-R.- A Multi-Criteria Ratio-Based Approach for Two-Stage Data Envelopment Analysis.- A novel network DEA-R model for evaluating hospital services supply chain performance.- A novel inverse DEA-R model for inputs/output estimation.- Evaluation of Two-Stage Networks based on Average Efficiency Using DEA and DEA-R with Fuzzy Data.- Stochastic network DEA-R models for two-stage systems.

Erscheinungsdatum
Reihe/Serie Studies in Big Data
Zusatzinfo XIV, 180 p. 32 illus., 29 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Artificial Intelligence • Big Data • Comparative Efficiency • Computational Intelligence • Data Analysis • Data envelopment analysis • DEA-R • Ratio analysis
ISBN-10 3-031-43183-9 / 3031431839
ISBN-13 978-3-031-43183-8 / 9783031431838
Zustand Neuware
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