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| MEREC-G× | Stegvis viktbedömningskvotanalys× | |
|---|---|---|
| Ämnesområde | Beslutsfattande | Beslutsfattande |
| Familj | MCDM | MCDM |
| Ursprungsår≠ | 2021 | 2010 |
| Upphovsperson≠ | Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al. | Keršulienė, V., Zavadskas, E. K., Turskis, Z. |
| Typ≠ | Objective weight derivation via removal impact assessment | Sequential step-ratio subjective weighting |
| Ursprungskälla≠ | Keshavarz Ghorabaee, M., Hosseinzadeh Lotfi, F., Behzadi, M., & Sałabun, W. (2021). MEREC: A new multi-criteria model to evaluate wind farm locations. Sustainability, 12(15), 6136. link ↗ | Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗ |
| Alias≠ | MEREC-G, Generalized MEREC | — |
| Närliggande≠ | 3 | 8 |
| Sammanfattning≠ | MEREC-G (Method Based on Removal Effects of Criteria - Generalized) is an objective weight derivation method that assigns weights based on the impact of removing each criterion from the decision analysis. The core idea is that important criteria, when removed, cause large changes in the final ranking. Generalized variants extend the original MEREC to various aggregation logic and decision contexts. | SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatamängd ↗ |
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