Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kompleksais EDAS paplašinājums× | Kritēriju korelācijas un standartnovirzes objektīvā svēršana× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2002 | 2010 |
| Autors≠ | Ramot, D. Milo, R. Friedman, M. Kandel, A. | Wang, Y. M., Luo, Y. |
| Tips≠ | Complex outranking/ranking — Complex Fuzzy Set (CFS: amplitude r ∈ [0,1], phase ω ∈ [0,2π]) | Correlation-penalised standard-deviation weighting |
| Pirmavots≠ | Ramot, D., Milo, R., Friedman, M., Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems 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≠ | CF-EDAS (Complex extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ramot, D. Milo, R. Friedman, M. Kandel, A. in 2002. 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. |
| ScholarGateDatu kopa ↗ |
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