Bandingkan metode

	Pembobotan PCA	Penilaian Rasio Aditif	Metode Urutan Peringkat Alternatif yang Mempertimbangkan Normalisasi Dua Langkah
Bidang	Pengambilan Keputusan	Pengambilan Keputusan	Pengambilan Keputusan
Keluarga	MCDM	MCDM	MCDM
Tahun asal	1901	2010	2022
Pencetus	Pearson, K.	Zavadskas, E. K., Turskis, Z.	Zdravković, M., Hamid, M., Radovanović, M.
Tipe	Weight_Objective (PCA variance explained, eigenvector-based)	Additive utility ratio (optimal reference row)	Two-step normalisation (linear + vector) with weighted power aggregation
Sumber perintis	Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy	Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering
Alias	—	—	—
Terkait	8	8	8
Ringkasan	PCA-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.	AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.