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Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uzito wa PCA×Mbinu ya Kuweka Nafasi Mbadala kwa Kuzingatia Normalisation ya Hatua Mbili×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili19012022
MwanzilishiPearson, K.Zdravković, M., Hamid, M., Radovanović, M.
AinaWeight_Objective (PCA variance explained, eigenvector-based)Two-step normalisation (linear + vector) with weighted power aggregation
Chanzo asiliaPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
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.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.
ScholarGateSeti ya data
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  1. v1
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  3. PUBLISHED

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