Consequences of dropping nonessential objectives for the application of MCDM methods

DOI10.1016/S0377-2217(99)00139-3zbMath0933.90054OpenAlexW2081919627MaRDI QIDQ1806739

Tomas Gal, Thomas Hanne

Publication date: 4 April 2000

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

Full work available at URL: https://doi.org/10.1016/s0377-2217(99)00139-3

zbMATH Keywords

modelingmultiple criteria decision makingredundancymultiple objective linear programmingmultiobjective optimization problemslinear objective functionsnonessential objectives

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50)

Related Items (8)

Approximating the Pareto optimal set using a reduced set of objective functions ⋮ Criteria and dimension reduction of linear multiple criteria optimization problems ⋮ On the effects of combining objectives in multi-objective optimization ⋮ Preprocessing and cut generation techniques for multi-objective binary programming ⋮ Objective space partitioning using conflict information for solving many-objective problems ⋮ Objective reduction for many-objective optimization problems using objective subspace extraction ⋮ Computational approach to essential and nonessential objective functions in linear multicriteria optimization ⋮ Nonessential objectives within network approaches for MCDM

Cites Work

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• Redundancy in mathematical programming. A state-of-the-art survey
• Redundant objective functions in linear vector maximum problems and their determination
• Multiple criteria decision making: The case for interdependence
• Relational Systems of Preference with One or More Pseudo-Criteria: Some New Concepts and Results
• An Interactive Programming Method for Solving the Multiple Criteria Problem

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