LEADER 03347nam 22006615 450 001 9910746953003321 005 20251008155105.0 010 $a9783031431814 010 $a3031431812 024 7 $a10.1007/978-3-031-43181-4 035 $a(MiAaPQ)EBC30765467 035 $a(Au-PeEL)EBL30765467 035 $a(PPN)272736937 035 $a(CKB)28443963800041 035 $a(OCoLC)1402027590 035 $a(DE-He213)978-3-031-43181-4 035 $a(EXLCZ)9928443963800041 100 $a20230930d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis /$fby Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffari, Javad Gerami 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (192 pages) 225 1 $aStudies in Big Data,$x2197-6511 ;$v138 311 08$a9783031431807 311 08$a3031431804 327 $aRelationship 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. 330 $aThe combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book. 410 0$aStudies in Big Data,$x2197-6511 ;$v138 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aBig data 606 $aData Engineering 606 $aComputational Intelligence 606 $aBig Data 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 0$aBig data. 615 14$aData Engineering. 615 24$aComputational Intelligence. 615 24$aBig Data. 676 $a658.4033 700 $aHosseinzadeh Lotfi$b Farhad$01356586 701 $aAllahviranloo$b Tofigh$01077219 701 $aPedrycz$b Witold$021029 701 $aMozaffari$b Mohammad Reza$01431444 701 $aGerami$b Javad$01431445 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746953003321 996 $aComparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis$93573758 997 $aUNINA