Võrdle meetodeid

	PCA kaalumine – peapõhikomponentide analüüsil põhinev objektiivne kaalumine	AHPSort	Aditiivse Suhte Hindamine
Valdkond	Otsustamine	Otsustamine	Otsustamine
Perekond	MCDM	MCDM	MCDM
Tekkeaasta	1901	2012	2010
Looja	Pearson, K.	Ishizaka, A., Nemery, P., Pearman, C.	Zavadskas, E. K., Turskis, Z.
Tüüp	Weight_Objective (PCA variance explained, eigenvector-based)	AHP-based sorting with limiting or central profiles	Additive utility ratio (optimal reference row)
Algallikas	Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine	Ishizaka, A., Nemery, P., Pearman, C. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy
Rööpnimetused	—	—	—
Seotud	8	8	8
Kokkuvõte	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.	AHPSORT (AHPSort — AHP-based classification of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Ishizaka, A., Nemery, P., Pearman, C. in 2012. 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.