विधियों की तुलना करें

	PCA भारण	योज्य अनुपात मूल्यांकन	दो-चरणीय सामान्यीकरण को ध्यान में रखते हुए वैकल्पिक रैंकिंग क्रम विधि
क्षेत्र	निर्णयन	निर्णयन	निर्णयन
परिवार	MCDM	MCDM	MCDM
उद्भव वर्ष	1901	2010	2022
प्रवर्तक	Pearson, K.	Zavadskas, E. K., Turskis, Z.	Zdravković, M., Hamid, M., Radovanović, M.
प्रकार	Weight_Objective (PCA variance explained, eigenvector-based)	Additive utility ratio (optimal reference row)	Two-step normalisation (linear + vector) with weighted power aggregation
मौलिक स्रोत	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
उपनाम	—	—	—
संबंधित	8	8	8
सारांश	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.