Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

Häftad, Engelska, 2024

AvFarhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Witold Pedrycz,Mohammad Reza Mozaffari,Javad Gerami

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The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs.

Produktinformation

Utgivningsdatum2024-10-03
Mått155 x 235 x 11 mm
Vikt306 g
FormatHäftad
SpråkEngelska
SerieStudies in Big Data
Antal sidor180
Upplaga2023
FörlagSpringer International Publishing AG
ISBN9783031431838

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Artificiell intelligens inom Data och IT
Databaser inom Data och IT

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.

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