Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Dvojnásobná normalizácia založená na viacnásobnej agregácii× | Metóda CILOS (Criterion Impact LOSs objective weighting method)× | |
|---|---|---|
| Odbor | Rozhodovanie | Rozhodovanie |
| Rodina | MCDM | MCDM |
| Rok vzniku≠ | 2020 | 2016 |
| Tvorca≠ | Liao, H., Wu, X. | Zavadskas, E. K., Podvezko, V. |
| Typ≠ | Dual-normalisation aggregation (linear + vector) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Pôvodný zdroj≠ | Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Ďalšie názvy | — | — |
| Príbuzné | 8 | 8 |
| Zhrnutie≠ | DNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDátová sada ↗ |
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