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Pembobotan PCA×Penilaian Rasio Aditif×
BidangPengambilan KeputusanPengambilan Keputusan
KeluargaMCDMMCDM
Tahun asal19012010
PencetusPearson, K.Zavadskas, E. K., Turskis, Z.
TipeWeight_Objective (PCA variance explained, eigenvector-based)Additive utility ratio (optimal reference row)
Sumber perintisPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗
Alias
Terkait88
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.ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan metode: PCA-WEIGHT · ARAS. Diakses 2026-06-18 dari https://scholargate.app/id/compare