A data envelopment analysis-based clustering approach under dynamic situations

DOI10.1016/j.ejor.2023.04.032OpenAlexW4367042774MaRDI QIDQ6168605

Hongjie Zhang, Feng He, Nam Hyok Kim, Kwon Ryong Hong, Unnamed Author

Publication date: 11 July 2023

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2023.04.032

zbMATH Keywords

hierarchical clusteringdata envelopment analysisproduction functiondissimilarityDEA-based clustering

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Measuring the efficiency of decision making units
• On the identification of the global reference set in data envelopment analysis
• A survey on feature weighting based K-means algorithms
• Sensitivity analysis of inefficient units in data envelopment analysis
• A novel scale-invariant, dynamic method for hierarchical clustering of data affected by measurement uncertainty
• Dealing with non-metric dissimilarities in fuzzy central clustering algorithms
• Comment on ``A new clustering approach using data envelopment analysis
• Achievement and benchmarking of countries at the Summer Olympics using cross efficiency evaluation method
• A new clustering approach using data envelopment analysis
• Asymmetric aggregation operator and its application to fuzzy clustering model
• Modeling undesirable factors in efficiency evaluation
• A Procedure for Ranking Efficient Units in Data Envelopment Analysis

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