ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Painotettu kaksisuuntainen ideaalisuhdeanalyysi×Kriteerien korrelaatio ja keskihajonta objektiivinen painotus×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20222010
KehittäjäKrstović, S., Stević, Ž., Stjepanović, Ž., Tomić, V.Wang, Y. M., Luo, Y.
TyyppiBidirectional ideal ratio scoringCorrelation-penalised standard-deviation weighting
AlkuperäislähdeKrstović, 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 ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäWEBIRA (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.
ScholarGateAineisto
  1. v1
  2. 1 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: WEBIRA · CCSD. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare