Сравнение методов

	PCA Weighting	Автоматическая попарная комбинация линейных порядков	Альтернативный метод ранжирования с учетом двуступенчатой нормализации
Область	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM
Год появления	1901	2020	2022
Автор метода	Pearson, K.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zdravković, M., Hamid, M., Radovanović, M.
Тип	Weight_Objective (PCA variance explained, eigenvector-based)	Pairwise dominance aggregation (automatic combination)	Two-step normalisation (linear + vector) with weighted power aggregation
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	Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering
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.	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.