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PCA भारण×योज्य अनुपात मूल्यांकन×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष19012010
प्रवर्तकPearson, K.Zavadskas, E. K., Turskis, Z.
प्रकारWeight_Objective (PCA variance explained, eigenvector-based)Additive utility ratio (optimal reference row)
मौलिक स्रोतPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗
उपनाम
संबंधित88
सारांशPCA-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.
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ScholarGateविधियों की तुलना करें: PCA-WEIGHT · ARAS. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare