ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Kaalutud kahesuunaline ideaalsuhte analüüs×Kriteeriumide korrelatsiooni ja standardhälbe objektiivne kaalutamine×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20222010
LoojaKrstović, S., Stević, Ž., Stjepanović, Ž., Tomić, V.Wang, Y. M., Luo, Y.
TüüpBidirectional ideal ratio scoringCorrelation-penalised standard-deviation weighting
AlgallikasKrstović, S., Stević, Ž., Stjepanović, Ž., Tomić, V. (2022). A new multi-criteria decision making method WEBIRA and its application in transport. Operational Research in Engineering Sciences: Theory and Applications link ↗Wang, 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 ↗
Rööpnimetused
Seotud88
KokkuvõteWEBIRA (WEighted Bi-directional Ideal Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstović, S., Stević, Ž., Stjepanović, Ž., Tomić, V. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (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.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: WEBIRA · CCSD. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare