Сравнение методов

	PCA Weighting	Автоматическая попарная комбинация линейных порядков	Аддитивная оценка отношения
Область	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM
Год появления	1901	2020	2010
Автор метода	Pearson, K.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.
Тип	Weight_Objective (PCA variance explained, eigenvector-based)	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)
Основополагающий источник	Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy
Другие названия	—	—	—
Связанные	8	8	8
Сводка	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.	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.	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.