Porovnat metody
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| Objektivní vážení metodou CCSD (Criteria Correlation and Standard Deviation)× | Automatická párová kombinace lineárního pořadí× | Metoda pořadí alternativ s normalizací ve dvou krocích× | |
|---|---|---|---|
| Obor | Rozhodování | Rozhodování | Rozhodování |
| Rodina | MCDM | MCDM | MCDM |
| Rok vzniku≠ | 2010 | 2020 | 2022 |
| Tvůrce≠ | Wang, Y. M., Luo, Y. | Konstantinos, N., Xenakis, A., Kehagias, A. | Zdravković, M., Hamid, M., Radovanović, M. |
| Typ≠ | Correlation-penalised standard-deviation weighting | Pairwise dominance aggregation (automatic combination) | Two-step normalisation (linear + vector) with weighted power aggregation |
| Původní zdroj≠ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ | Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research 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 ↗ |
| Další názvy | — | — | — |
| Příbuzné | 8 | 8 | 8 |
| Shrnutí≠ | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. 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. |
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