Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fuzzy Full Consistency Method (TFN)× | MABAC× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2018 crisp; 2020 variant applicator | 2015 |
| Autors≠ | Pamucar, D., Ecer, F. | Pamučar, D., Ćirović, G. |
| Tips≠ | Triangular-fuzzy pairwise priority weighting with full-consistency NLP | Border approximation area (distance from BAA) |
| Pirmavots≠ | Pamucar, D., Ecer, F. (2020). Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method – FUCOM-F. Facta Universitatis, Series: Mechanical Engineering DOI ↗ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | FUCOM-F (Fuzzy Full Consistency Method (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Pamucar, D., Ecer, F. in 2018 crisp; 2020 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MABAC (Multi-Attributive Border Approximation area Comparison) 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. |
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