方法对比

	PCA权重	AHPSort	自动成对线性排序组合	AROMAN（考虑双步归一化的排序顺序方法）
领域	决策	决策	决策	决策
方法族	MCDM	MCDM	MCDM	MCDM
起源年份	1901	2012	2020	2022
提出者	Pearson, K.	Ishizaka, A., Nemery, P., Pearman, C.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zdravković, M., Hamid, M., Radovanović, M.
类型	Weight_Objective (PCA variance explained, eigenvector-based)	AHP-based sorting with limiting or central profiles	Pairwise dominance aggregation (automatic combination)	Two-step normalisation (linear + vector) with weighted power aggregation
开创性文献	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	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
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相关	8	8	8	8
摘要	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.	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.