Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Neutrosophische uitbreiding van TOPSIS× | Objectieve weging van criteria op basis van correlatie en standaarddeviatie× | |
|---|---|---|
| Vakgebied | Besluitvorming | Besluitvorming |
| Familie | MCDM | MCDM |
| Jaar van ontstaan≠ | 2016 | 2010 |
| Grondlegger≠ | Biswas, P., Pramanik, S., Giri, B. C. | Wang, Y. M., Luo, Y. |
| Type≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Correlation-penalised standard-deviation weighting |
| Oorspronkelijke bron≠ | Biswas, P., Pramanik, S., Giri, B. C. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications 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 ↗ |
| Aliassen | — | — |
| Verwant | 8 | 8 |
| Samenvatting≠ | N-TOPSIS (Neutrosophic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2016. 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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