03347nam 22006615 450 991074695300332120251008155105.09783031431814303143181210.1007/978-3-031-43181-4(MiAaPQ)EBC30765467(Au-PeEL)EBL30765467(PPN)272736937(CKB)28443963800041(OCoLC)1402027590(DE-He213)978-3-031-43181-4(EXLCZ)992844396380004120230930d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis /by Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffari, Javad Gerami1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (192 pages)Studies in Big Data,2197-6511 ;1389783031431807 3031431804 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.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.Studies in Big Data,2197-6511 ;138EngineeringData processingComputational intelligenceBig dataData EngineeringComputational IntelligenceBig DataEngineeringData processing.Computational intelligence.Big data.Data Engineering.Computational Intelligence.Big Data.658.4033Hosseinzadeh Lotfi Farhad1356586Allahviranloo Tofigh1077219Pedrycz Witold21029Mozaffari Mohammad Reza1431444Gerami Javad1431445MiAaPQMiAaPQMiAaPQBOOK9910746953003321Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis3573758UNINA