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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

PCA भारण×संयुक्त समझौता समाधान×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष19012019
प्रवर्तकPearson, K.Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z.
प्रकारWeight_Objective (PCA variance explained, eigenvector-based)Aggregated exponential comparison (WSM + WPM combination)
मौलिक स्रोतPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. (2019). A combined compromise solution (COCOSO) method for multi-criteria decision-making problems. Management Decision DOI ↗
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.COCOSO (Combined Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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