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PCA-vekting×Kombinatorisk avstandsbassert vurdering×
FagfeltBeslutningstakingBeslutningstaking
FamilieMCDMMCDM
Opprinnelsesår19012016
OpphavspersonPearson, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
TypeWeight_Objective (PCA variance explained, eigenvector-based)Distance from anti-ideal (Euclidean + Taxicab)
Opprinnelig kildePearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine 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
Relaterte88
SammendragPCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pearson, K. in 1901. 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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ScholarGateSammenlign metoder: PCA-WEIGHT · CODAS. Hentet 2026-06-15 fra https://scholargate.app/no/compare