Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Novērtējums, balstīts uz līmeņiem (Level Based Weight Assessment)× | AROMAN× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2019 | 2022 |
| Autors≠ | Žižović, M., Pamučar, D. | Zdravković, M., Hamid, M., Radovanović, M. |
| Tips≠ | Level-partitioned criterion grouping with influence function weighting | Two-step normalisation (linear + vector) with weighted power aggregation |
| Pirmavots≠ | Žižović, M., Pamučar, D. (2019). New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering link ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | LBWA (Level Based Weight Assessment) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Žižović, M., Pamučar, D. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
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