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

Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

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

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Beschreibung

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.

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.
Presents an introduction of comparative efficiency models in ratio analysis and DEA-R Demonstrates the relationship between ratio analysis models and DEA-R with classical data envelopment analysis models Focuses on comparative efficiency models in ratio analysis and DEA-R

Autor*in

Farhad Hosseinzadeh Lotfi

Themen in »Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis«

Data Envelopment Analysis Ratio Analysis DEA-R Comparative Efficiency Artificial Intelligence Data Analysis

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Details

ISBN: 9783031431807
Verlag: Springer International Publishing
Erscheinung: 02.10.2023

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