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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uzito wa PCA×COBRA (COmprehensive distance Based RAnking)×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili19012022
MwanzilishiPearson, K.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
AinaWeight_Objective (PCA variance explained, eigenvector-based)Distance from PIS/NIS/AS (Euclidean × Taxicab combined)
Chanzo asiliaPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability 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.COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateSeti ya data
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

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