手法を比較

	PCA Weighting	加法比率評価	二段階正規化を考慮した代替順位付け手法
分野	意思決定	意思決定	意思決定
系統	MCDM	MCDM	MCDM
提唱年	1901	2010	2022
提唱者	Pearson, K.	Zavadskas, E. K., Turskis, Z.	Zdravković, M., Hamid, M., Radovanović, M.
種類	Weight_Objective (PCA variance explained, eigenvector-based)	Additive utility ratio (optimal reference row)	Two-step normalisation (linear + vector) with weighted power aggregation
原典	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
別名	—	—	—
関連	8	8	8
概要	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.	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.