Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis / Studies in Big Data Bd.138 (PDF)
(Sprache: Englisch)
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....
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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.
Bibliographische Angaben
- Autoren: Farhad Hosseinzadeh Lotfi , Tofigh Allahviranloo , Witold Pedrycz , Mohammad Reza Mozaffari , Javad Gerami
- 2023, 1st ed. 2023, 180 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031431812
- ISBN-13: 9783031431814
- Erscheinungsdatum: 30.09.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 5.85 MB
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Englisch
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