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| Descomposició Logarítmica de la Importància dels Criteris× | AROMAN× | |
|---|---|---|
| Camp | Presa de decisions | Presa de decisions |
| Família | MCDM | MCDM |
| Any d'origen≠ | 2024 | 2022 |
| Autor original≠ | Pala, O. | Zdravković, M., Hamid, M., Radovanović, M. |
| Tipus≠ | Objective weighting via logarithmic decomposition | Two-step normalisation (linear + vector) with weighted power aggregation |
| Font seminal≠ | Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| Àlies | — | — |
| Relacionats | 8 | 8 |
| Resum≠ | LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. 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. |
| ScholarGateConjunt de dades ↗ |
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