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Décomposition Logarithmique de l'Importance des Critères×Évaluation combinatoire basée sur la distance×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20242016
Auteur d'originePala, O.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
TypeObjective weighting via logarithmic decompositionDistance from anti-ideal (Euclidean + Taxicab)
Source fondatricePala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗
Alias
Apparentées88
RésuméLODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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  1. v1
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ScholarGateComparer des méthodes: LODECI · CODAS. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare