Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| SF-EDAS× | Objektivní vážení metodou CCSD (Criteria Correlation and Standard Deviation)× | |
|---|---|---|
| Obor | Rozhodování | Rozhodování |
| Rodina | MCDM | MCDM |
| Rok vzniku≠ | 2022 | 2010 |
| Tvůrce≠ | Garg, H., Sharaf, I.M. | Wang, Y. M., Luo, Y. |
| Typ≠ | Spherical outranking/ranking — Spherical Fuzzy Set (SFS: μ, ν, π; μ²+ν²+π² ≤ 1) | Correlation-penalised standard-deviation weighting |
| Původní zdroj≠ | Garg, H., Sharaf, I.M. (2022). A new spherical aggregation function with the concept of spherical fuzzy difference for spherical fuzzy EDAS and its application to industrial robot selection. Computational and Applied Mathematics 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 ↗ |
| Další názvy | — | — |
| Příbuzné | 8 | 8 |
| Shrnutí≠ | SF-EDAS (Spherical extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Garg, H., Sharaf, I.M. 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. |
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