Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| CRITIC-M× | MEREC-G× | Поэтапный анализ коэффициентов весовых оценок× | |
|---|---|---|---|
| Область | Принятие решений | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM | MCDM |
| Год появления≠ | 1995 | 2021 | 2010 |
| Автор метода≠ | Based on Diakoulaki et al.'s CRITIC; modified variants developed later | Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al. | Keršulienė, V., Zavadskas, E. K., Turskis, Z. |
| Тип≠ | Objective weight derivation via correlation and variance | Objective weight derivation via removal impact assessment | Sequential step-ratio subjective weighting |
| Основополагающий источник≠ | 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 ↗ | 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 ↗ |
| Другие названия≠ | CRITIC-M, Modified CRITIC | MEREC-G, Generalized MEREC | — |
| Связанные≠ | 3 | 3 | 8 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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