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Rough-SAW×Kritēriju korelācijas un standartnovirzes objektīvā svēršana×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20172010
AutorsStević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O.Wang, Y. M., Luo, Y.
TipsRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Correlation-penalised standard-deviation weighting
PirmavotsStević, Ž., Pamučar, D., Zavadskas, E.K., Ćirović, G., Prentkovskis, O. (2017). The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods. Symmetry 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
KopsavilkumsROUGH-SAW (Rough-SAW — Rough extension of SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O. in 2017. 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: ROUGH-SAW · CCSD. Izgūts 2026-06-17 no https://scholargate.app/lv/compare