Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| PiF-MOORA× | Multi-Objective Optimisation by Ratio Analysis× | |
|---|---|---|
| Vakgebied | Besluitvorming | Besluitvorming |
| Familie | MCDM | MCDM |
| Jaar van ontstaan≠ | 2013 | 2006 |
| Grondlegger≠ | Cuong, B. C., Kreinovich, V. | Brauers, W. K. M., Zavadskas, E. K. |
| Type≠ | Picture outranking/ranking — Picture Fuzzy Set (PiFS: μ, η, ν; μ+η+ν ≤ 1) | Ratio system + reference point (vector normalisation) |
| Oorspronkelijke bron≠ | Cuong, B. C., Kreinovich, V. (2013). Picture fuzzy sets — A new concept for computational intelligence problems. 2013 Third World Congress on Information and Communication Technologies (WICT 2013) 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 ↗ |
| Aliassen | — | — |
| Verwant≠ | 2 | 8 |
| Samenvatting≠ | PIF-MOORA (PiF-MOORA — Picture extension of MOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. 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. |
| ScholarGateGegevensset ↗ |
|
|