Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (Studies in Big Data) - Softcover
Synopsis
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.
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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.
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Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (eng)
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Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. Seller Inventory # 9783031431838
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Taschenbuch. Condition: Neu. Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis | Farhad Hosseinzadeh Lotfi (u. a.) | Taschenbuch | Studies in Big Data | xiv | Englisch | 2024 | Springer | EAN 9783031431838 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 130174026
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Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. Seller Inventory # 9783031431838
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Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031431838
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