Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Plithogene MABAC (met BWM-weging en Rough Number-onzekerheid)× | Shannon Entropy Weighting Method× | |
|---|---|---|
| Vakgebied | Besluitvorming | Besluitvorming |
| Familie | MCDM | MCDM |
| Jaar van ontstaan≠ | 2015 | 1948 |
| Grondlegger≠ | Pamučar, D. Ćirović, G. | Shannon, C. E. |
| Type≠ | Plithogenic-rough border approximation area (PL+RN+MABAC) | Information-theoretic objective weighting (Shannon entropy) |
| Oorspronkelijke bron≠ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Aliassen | — | — |
| Verwant≠ | 3 | 8 |
| Samenvatting≠ | PL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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