Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Fuzzy SIWEC× | Fuzzy ARAS× | |
|---|---|---|
| Vakgebied | Besluitvorming | Besluitvorming |
| Familie | MCDM | MCDM |
| Jaar van ontstaan≠ | 2024 | 2010 |
| Grondlegger≠ | Puška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V. | Turskis, Z., Zavadskas, E. K. |
| Type≠ | Triangular Fuzzy Number extension of SIWEC; experts use linguistic variables; dispersion-weighted aggregation with TFN arithmetic; outputs fuzzy weights defuzzified for downstream use. | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) |
| Oorspronkelijke bron≠ | Puška, A., Nedeljković, M., Pamučar, D., Božanić, D., Simić, V. (2024). Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products. MethodsX DOI ↗ | Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport DOI ↗ |
| Aliassen | — | — |
| Verwant≠ | 8 | 2 |
| Samenvatting≠ | FUZZY-SIWEC (Fuzzy SIWEC — Fuzzy Simple Weight Calculation (F-SIWEC)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Puška, A. Nedeljković, M. Pamučar, D. Božanić, D. Simić, V. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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