ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Kriteeriumide korrelatsiooni ja standardhälbe objektiivne kaalutamine×Kombinatiivne kauguspõhine hindamine×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20102016
LoojaWang, Y. M., Luo, Y.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
TüüpCorrelation-penalised standard-deviation weightingDistance from anti-ideal (Euclidean + Taxicab)
AlgallikasWang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling 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 ↗
Rööpnimetused
Seotud88
KokkuvõteCCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: CCSD · CODAS. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare