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Kompromisu rangu veidošana no attāluma līdz ideālajam risinājumam×Kritēriju korelācijas un standartnovirzes objektīvā svēršana×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20212010
AutorsPuška, A., Stević, Ž., Pamučar, D.Wang, Y. M., Luo, Y.
TipsDistance from ideal and anti-ideal (geometric mean compromise)Correlation-penalised standard-deviation weighting
PirmavotsPuška, A., Stević, Ž., Pamučar, D. (2021). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability DOI ↗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 ↗
Citi nosaukumi
Saistītās88
KopsavilkumsCRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A., Stević, Ž., Pamučar, D. in 2021. 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.
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ScholarGateSalīdzināt metodes: CRADIS · CCSD. Izgūts 2026-06-17 no https://scholargate.app/lv/compare