Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (Studies in Big Data, Band 138) - Softcover

Hosseinzadeh Lotfi, Farhad; Allahviranloo, Tofigh; Pedrycz, Witold; Mozaffari, Mohammad Reza; Gerami, Javad

 
9783031431838: Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (Studies in Big Data, Band 138)
Softcover
ISBN 10: 3031431839 ISBN 13: 9783031431838
Verlag: Springer, 2024

Inhaltsangabe

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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Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031431839
ISBN 13 
9783031431838
Einband
Taschenbuch
Anzahl der Seiten
196
Kontakt zum Hersteller
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Deutschland

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9783031431807: Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (Studies in Big Data, 138, Band 138)

Vorgestellte Ausgabe

ISBN 10:  3031431804 ISBN 13:  9783031431807
Verlag: Springer, 2023
Hardcover