03923nam 22005293 450 991074695300332120231004080221.03-031-43181-2(MiAaPQ)EBC30765467(Au-PeEL)EBL30765467(PPN)272736937(CKB)28443963800041(Exl-AI)30765467(EXLCZ)992844396380004120231004d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis1st ed.Cham :Springer International Publishing AG,2023.©2023.1 online resource (192 pages)Studies in Big Data Series ;v.138Print version: Hosseinzadeh Lotfi, Farhad Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis Cham : Springer International Publishing AG,c2023 9783031431807 Preface -- Contents -- List of Figures -- List of Tables -- 1 Relationship Between Ratio Analysis, DEA-R and DEA Models -- 1.1 Background -- 1.2 Basic Concepts -- 1.2.1 Efficiency Evaluation of DMUs in the Input and Output Orientated -- 1.2.2 Production Function -- 1.2.3 Approximation of the Production Function -- 1.2.4 Production Possibility Set -- 1.2.5 CCR Model in the Input Oriented -- 1.2.6 CCR Model in the Output Oriented -- 1.2.7 BCC Model in the Input Oriented -- 1.2.8 The BCC Model -- 1.3 Relationship Between Models DEA and DEA-R -- 1.3.1 The DEA Models in Output Oriented and DEA-R Models in Input Oriented -- 1.3.2 The DEA Models in Input Oriented and DEA-R Models in Output Oriented -- 1.4 DEA Models Without Explicit Inputs and DEA-R -- 1.5 A Numerical Example for Commercial Banks -- 1.6 Conclusions -- References -- 2 Determining the Production Possibility Set for Ratio Data: A Novel Hybrid DEA-R Approach -- 2.1 Background -- 2.2 The Novel Hybrid DEA-RA Approach -- 2.2.1 Ratio Analysis (RA) -- 2.2.2 The Inputs and Outputs of DEA-RA Model -- 2.3 DEA-RA Axiomatic Structure -- 2.3.1 DEA-R Space -- 2.3.2 ConvexityGenerated by AI.This book, 'Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis,' explores advanced methodologies in data envelopment analysis (DEA) with a focus on ratio analysis. It is part of the 'Studies in Big Data' series and aims to bridge theoretical and practical applications in evaluating the performance of decision-making units (DMUs). The authors, including Farhad Hosseinzadeh Lotfi and others, present hybrid models combining DEA and Ratio Analysis (DEA-R) to enhance efficiency calculations and rankings. The book targets researchers in applied mathematics, industrial engineering, management, and computer engineering, offering insights into DEA-R's applications in various sectors such as banking and supply chain management. The text is a comprehensive resource for those interested in operational research and efficiency evaluation.Generated by AI.Studies in Big Data SeriesData envelopment analysisGenerated by AIRatio analysisGenerated by AIData envelopment analysis.Ratio analysis.658.4033Hosseinzadeh Lotfi Farhad1356586Allahviranloo Tofigh1077219Pedrycz Witold21029Mozaffari Mohammad Reza1431444Gerami Javad1431445MiAaPQMiAaPQMiAaPQBOOK9910746953003321Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis3573758UNINA