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Pembobotan PCA×Kombinasi Urutan Linear Pasangan Automatik×
BidangPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDM
Tahun asal19012020
PengasasPearson, K.Konstantinos, N., Xenakis, A., Kehagias, A.
JenisWeight_Objective (PCA variance explained, eigenvector-based)Pairwise dominance aggregation (automatic combination)
Sumber perintisPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗
Alias
Berkaitan88
RingkasanPCA-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.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan kaedah: PCA-WEIGHT · APLOCO. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare