Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Plitogēnā MABAC (ar BWM svērumu un aptuveno skaitļu nenoteiktību)× | Labākā-Sliktākā metode× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads | 2015 | 2015 |
| Autors≠ | Pamučar, D. Ćirović, G. | Rezaei, J. |
| Tips≠ | Plithogenic-rough border approximation area (PL+RN+MABAC) | Pairwise comparison (best-to-others + others-to-worst vectors), LP |
| Pirmavots≠ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 3 | 8 |
| Kopsavilkums≠ | 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. | BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
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