Finding the most preferred decision-making unit in data envelopment analysis

DOI10.1155/2016/7171467zbMath1387.90106DBLPjournals/advor/MohammadiMJ16OpenAlexW2560095421WikidataQ59122794 ScholiaQ59122794MaRDI QIDQ1748496

S. Morteza Mirdehghan, Shirin Mohammadi, Gholam Reza Jahanshahloo

Publication date: 11 May 2018

Published in: Advances in Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/7171467

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (1)

Integrating fuzzy goal programming and data envelopment analysis to incorporate preferred decision-maker targets in efficiency measurement

Cites Work

• Unnamed Item
• On the identification of the global reference set in data envelopment analysis
• Interactive minimax optimisation for integrated performance analysis and resource planning
• Using interactive multiobjective methods to solve DEA problems with value judgements
• Finding strong defining hyperplanes of PPS using multiplier form
• Performance benchmarking using interactive data envelopment analysis
• Estimating preferred target input-output levels using data envelopment analysis
• Preference modelling by estimating local utility functions for multiobjective optimization
• Gradient projection and local region search for multiobjective optimisation
• Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods
• Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming
• Restricting Weight Flexibility in Data Envelopment Analysis
• FINDING THE REFERENCE SET OF A DECISION MAKING UNIT
• An Interactive MOLP Procedure for the Extension of DEA to Effectiveness Analysis
• Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis
• Data Envelopment Analysis with Preference Structure
• Minimax reference point approach and its application for multiobjective optimisation

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