An evolutionary approach to construction of outranking models for multicriteria classification: the case of the ELECTRE TRI method
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Publication:1042169
DOI10.1016/j.ejor.2008.11.035zbMath1176.90283OpenAlexW2123214332MaRDI QIDQ1042169
Publication date: 7 December 2009
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2008.11.035
Related Items (21)
ELECTRE: A comprehensive literature review on methodologies and applications ⋮ Learning criteria weights of an optimistic Electre Tri sorting rule ⋮ Particle Swarm Optimization for Preference Disaggregation in Multicriteria Credit Scoring Problems ⋮ Multicriteria decision systems for financial problems ⋮ Analysis of the effectiveness of the theseus multi-criteria sorting method: theoretical remarks and experimental evidence ⋮ Learning monotone preferences using a majority rule sorting model ⋮ Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: the extended NOSGA method ⋮ Preference disaggregation and statistical learning for multicriteria decision support: A review ⋮ An ELECTRE III based consensus‐reaching process to improve a collective solution ⋮ Handling the multiplicity of solutions in a MOEA based PDA-THESEUS framework for multi-criteria sorting ⋮ A MIP-based approach to learn MR-sort models with single-peaked preferences ⋮ A theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes ⋮ ELECTRE TRI-nB: a new multiple criteria ordinal classification method ⋮ A theoretical look at \textsc{Electre Tri}-nB and related sorting models ⋮ Multiple criteria sorting models and methods. I: Survey of the literature ⋮ Multi-objective optimization using statistical models ⋮ Reference-based preferences aggregation procedures in multi-criteria decision making ⋮ A new approach to multi-criteria sorting based on fuzzy outranking relations: the THESEUS method ⋮ Evolutionary multiobjective optimization using an outranking-based dominance generalization ⋮ Deep preference learning for multiple criteria decision analysis ⋮ Ranking with multiple reference points: efficient SAT-based learning procedures
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