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Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uzito wa PCA×Suluhisho la Pamoja la Maelewano×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili19012019
MwanzilishiPearson, K.Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z.
AinaWeight_Objective (PCA variance explained, eigenvector-based)Aggregated exponential comparison (WSM + WPM combination)
Chanzo asiliaPearson, 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 ↗
Majina mbadala
Zinazohusiana88
MuhtasariPCA-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.
ScholarGateSeti ya data
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  1. v1
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: PCA-WEIGHT · COCOSO. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare