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| Multi-Objective Optimisation by Ratio Analysis× | Picture Fuzzy-Variante von CIMAS (Kara et al. 2024)× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2006 | 2024 |
| Urheber≠ | Brauers, W. K. M., Zavadskas, E. K. | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. |
| Typ≠ | Ratio system + reference point (vector normalisation) | Picture Fuzzy criteria weighting via expert assessment (CIMAS) — PFWA aggregation |
| Wegweisende Quelle≠ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗ |
| Aliasnamen | — | — |
| Verwandt | 8 | 8 |
| Zusammenfassung≠ | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | PIF-CIMAS (Picture Fuzzy variant of CIMAS (Kara et al. 2024)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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