ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

PCA-vægtning×Alternative Ranking Order Method Accounting for Two-Step Normalisation×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår19012022
OphavspersonPearson, K.Zdravković, M., Hamid, M., Radovanović, M.
TypeWeight_Objective (PCA variance explained, eigenvector-based)Two-step normalisation (linear + vector) with weighted power aggregation
Oprindelig kildePearson, 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 ↗
Aliasser
Relaterede88
ResuméPCA-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.
ScholarGateDatasæt
  1. v1
  2. 1 Kilder
  3. PUBLISHED
  1. v1
  2. 1 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: PCA-WEIGHT · AROMAN. Hentet 2026-06-17 fra https://scholargate.app/da/compare