Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Fuzzy Logarithm Methodology of Additive Weights (TFN)× | Evaluering basert på avstand fra gjennomsnittsløsning× | |
|---|---|---|
| Fagfelt | Beslutningstaking | Beslutningstaking |
| Familie | MCDM | MCDM |
| Opprinnelsesår≠ | 2021 crisp; 2022 variant applicator | 2015 |
| Opphavsperson≠ | Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. | Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. |
| Type≠ | Triangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal point | Distance from average solution |
| Opprinnelig kilde≠ | Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI ↗ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗ |
| Alias | — | — |
| Relaterte | 8 | 8 |
| Sammendrag≠ | F-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatasett ↗ |
|
|