Using Monte Carlo method for ranking interval data

DOI10.1016/j.amc.2007.12.064zbMath1155.65302OpenAlexW2015288025MaRDI QIDQ945297

F. Rezai Balf, H. Zhiani Rezai, Farhad Hosseinzadeh Lotfi, Gholam Reza Jahanshahloo

Publication date: 12 September 2008

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.12.064

zbMATH Keywords

rankingefficiencyMonte Carlo methoddata envelopment analysisinterval data

Mathematics Subject Classification ID

Monte Carlo methods (65C05)

Related Items (3)

Crowding distance development for ranking efficient units in DEA ⋮ An extension to data envelopment analysis with preference structure for estimating overall inefficiency ⋮ A robust data envelopment analysis model with different scenarios

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Stability regions for maintaining efficiency in data envelopment analysis
• Data envelopment analysis with imprecise data
• Using Monte Carlo method for ranking efficient DMUs
• A complete efficiency ranking of decision making units in data envelopment analysis
• Super-efficiency and DEA sensitivity analysis
• A Procedure for Ranking Efficient Units in Data Envelopment Analysis
• Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses
• Infeasibility Of Super-Efficiency Data Envelopment Analysis Models

This page was built for publication: Using Monte Carlo method for ranking interval data