Hosseinzadeh Lotfi, F.Allahviranloo, T.Pedrycz, W.Mozaffari, M.R.Gerami, J.2024-05-192024-05-1920232197-6503https://doi.org/10.1007/978-3-031-43181-4_1https://hdl.handle.net/20.500.12713/4463Data envelopment analysis (DEA) is one of often used modeling tools for efficiency and performance evaluation of decision making units (DMUs). DEA-R is a group of novel mathematical models that combines standard DEA methodology and ratio analysis. The efficiency score given by standard DEA model is less than or equal to that given by DEA-R model. In case of single input or single output, the efficiency scores in DEA and DEA-R models are equal. A basic DEA-R model without explicit inputs is formulated and relation between output-oriented DEA models without explicit inputs and output-oriented DEA-R models is analyzed. Finally, 41 Chinese commercial banks are evaluated in DEA and DEA-R models in the input and output oriented. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.eninfo:eu-repo/semantics/closedAccessDecision MakingEfficiencyData Envelopment Analysis ModelsDecision Making UnitEfficiency And PerformanceEfficiency EvaluationInput And OutputsModelling ToolsPerformances EvaluationR ModelsRatio AnalysisSingle İnputData Envelopment AnalysisBook Chapter1381212-s2.0-8517519007810.1007/978-3-031-43181-4_1N/A