Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Logaritmiskā normalizācija× | Optimizācija ar vairākiem mērķiem, izmantojot attiecību analīzi× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2008 | 2006 |
| Autors≠ | Zavadskas, E. K., Turskis, Z. | Brauers, W. K. M., Zavadskas, E. K. |
| Tips≠ | Normalization (logarithmic, multiplicative) | Ratio system + reference point (vector normalisation) |
| Pirmavots≠ | Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI ↗ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 2 | 8 |
| Kopsavilkums≠ | LOGARITHMIC-NORMALIZATION (Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2008. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
|
|