Efficiency status of a feasible solution in the multi-objective integer linear programming problems: a DEA methodology
DOI10.1016/j.apm.2014.11.032zbMath1443.90308OpenAlexW2090884100WikidataQ57840702 ScholiaQ57840702MaRDI QIDQ2009674
Publication date: 29 November 2019
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2014.11.032
efficient solutiondata envelopment analysis (DEA)multi-criteria optimization (MCO) problemmulti-objective integer linear programming (MOILP)supported/non-supported efficient solution
Integer programming (90C10) Multi-objective and goal programming (90C29) Linear programming (90C05) Management decision making, including multiple objectives (90B50)
Related Items (3)
Cites Work
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- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- An algorithm for the multiple objective integer linear programming problem
- Multiple criteria optimization: State of the art annotated bibliographic surveys
- A comparative analysis of DEA as a discrete alternative multiple criteria decision tool
- Using DEA to obtain efficient solutions for multi-objective 0--1 linear programs
- Relationships between Pareto optimality in multi-objective 0-1 linear programming and DEA efficiency
- A discussion of scalarization techniques for multiple objective integer programming
- An extended assignment problem considering multiple inputs and outputs
- Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming
- Using DEA as a tool for MCDM: some remarks
- Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis
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