Methoden vergleichen
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| Best-Worst Method× | CRITIC-M× | Schrittweise Gewichtungs-Verhältnis-Analyse× | |
|---|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM | MCDM |
| Entstehungsjahr≠ | 2015 | 1995 | 2010 |
| Urheber≠ | Rezaei, J. | Based on Diakoulaki et al.'s CRITIC; modified variants developed later | Keršulienė, V., Zavadskas, E. K., Turskis, Z. |
| Typ≠ | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Objective weight derivation via correlation and variance | Sequential step-ratio subjective weighting |
| Wegweisende Quelle≠ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ | Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. DOI ↗ | 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 ↗ |
| Aliasnamen≠ | — | CRITIC-M, Modified CRITIC | — |
| Verwandt≠ | 8 | 3 | 8 |
| Zusammenfassung≠ | BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CRITIC-M (Criteria Importance Through Intercriteria Correlation - Modified) is an objective weight derivation method that extends the classical CRITIC approach. It assigns weights to criteria based on two intrinsic properties of the decision matrix: variance (how much a criterion differentiates alternatives) and correlation (how much a criterion conflicts with or supplements others). Modified variants adjust the formulation to improve robustness or interpretability. | 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. |
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