Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uzito wa PCA× | Tathmini Jumuishi Inayotegemea Umbali× | |
|---|---|---|
| Nyanja | Ufanyaji Maamuzi | Ufanyaji Maamuzi |
| Familia | MCDM | MCDM |
| Mwaka wa asili≠ | 1901 | 2016 |
| Mwanzilishi≠ | Pearson, K. | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. |
| Aina≠ | Weight_Objective (PCA variance explained, eigenvector-based) | Distance from anti-ideal (Euclidean + Taxicab) |
| Chanzo asilia≠ | Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗ |
| Majina mbadala | — | — |
| Zinazohusiana | 8 | 8 |
| Muhtasari≠ | 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. | CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateSeti ya data ↗ |
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