Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Grey-COPRAS× | Kritēriju korelācijas un standartnovirzes objektīvā svēršana× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 1996 | 2010 |
| Autors≠ | Zavadskas, E. K., Kaklauskas, A. | Wang, Y. M., Luo, Y. |
| Tips≠ | Grey outranking/ranking — Grey Interval Number (GIN: [x̲, x̄]) | Correlation-penalised standard-deviation weighting |
| Pirmavots≠ | Zavadskas, E. K., Kaklauskas, A., Turskis, Z., Tamosaitiene, J. (2009). Multi-Attribute Decision-Making Model by Applying Grey Numbers. Informatica 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 | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | GREY-COPRAS (Grey-COPRAS — Grey extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. 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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