Methoden vergelijken

	PCA-Weging	Additieve Ratio Beoordeling	Alternatieve Rangordemethode met Tweestapsnormalisatie
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM
Jaar van ontstaan	1901	2010	2022
Grondlegger	Pearson, K.	Zavadskas, E. K., Turskis, Z.	Zdravković, M., Hamid, M., Radovanović, M.
Type	Weight_Objective (PCA variance explained, eigenvector-based)	Additive utility ratio (optimal reference row)	Two-step normalisation (linear + vector) with weighted power aggregation
Oorspronkelijke bron	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
Aliassen	—	—	—
Verwant	8	8	8
Samenvatting	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.