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



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Autore: Hosseinzadeh Lotfi Farhad Visualizza persona
Titolo: Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis / / by Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffari, Javad Gerami Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (192 pages)
Disciplina: 658.4033
Soggetto topico: Engineering - Data processing
Computational intelligence
Big data
Data Engineering
Computational Intelligence
Big Data
Altri autori: AllahviranlooTofigh  
PedryczWitold  
MozaffariMohammad Reza  
GeramiJavad  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis  Visualizza cluster
ISBN: 9783031431814
3031431812
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910746953003321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Big Data, . 2197-6511 ; ; 138