A Novel Improved Data Envelopment Analysis Model Based on SBM and FDH Models

Mirpouya Mirmozaffari, Gohar Azeem, Azam Boskabadi, Ali Aranizadeh, Aditya Vaishnav and Jithin John
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Mirpouya Mirmozaffari: The University of Texas at Arlington, USA.
Gohar Azeem: The University of Texas at Arlington, USA.
Azam Boskabadi: The University of Texas at Arlington, USA.
Ali Aranizadeh: Amirkabir University of Technology, Iran.
Aditya Vaishnav: The University of Texas at Arlington, USA.
Jithin John: The University of Texas at Arlington, USA.

European Journal of Electrical Engineering and Computer Science, 2020, vol. 4, issue 3

Abstract: During the past decade, applying nonparametric operation research problems such as Data Envelopment Analysis(DEA) has received significant consideration among researchers. In this paper, a new DEA-based SBM-FDH model is introduced. Finally, productivity evaluation for banking systems in Malmquist Productivity Index (MPI) based on the proposed model has been compared with Slack Based Measurement (SBM) and Free Disposal Hull (FDH). The obtained results confirm the high performance of the proposed model in comparison to the other models used in this paper.

Keywords: Data Envelopment Analysis; Slack Based Measurement; Free Disposal Hull; Malmquist Productivity Index; SBM-FDH (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejece0:v:4:y:2020:i:3:id:19214

DOI: 10.24018/ejece.2020.4.3.214

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