Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| PiF-ARAS× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Vakgebied | Besluitvorming | Besluitvorming |
| Familie | MCDM | MCDM |
| Jaar van ontstaan≠ | 2013 | 1995 |
| Grondlegger≠ | Cuong, B. C., Kreinovich, V. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Type≠ | Picture utility-degree ranking — Picture Fuzzy Number (PiFN: μ, η, ν; μ+η+ν ≤ 1) | Statistical contrast intensity + correlation-based objective weighting |
| 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 ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Aliassen | — | — |
| Verwant | 8 | 8 |
| Samenvatting≠ | PIF-ARAS (PiF-ARAS — Picture Fuzzy extension of ARAS) 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. | CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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