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| SWARA II× | CRITIC-M× | |
|---|---|---|
| Bidang | Pembuatan Keputusan | Pembuatan Keputusan |
| Keluarga | MCDM | MCDM |
| Tahun asal≠ | 2010 | 1995 |
| Pengasas≠ | Keršuliene, Zavadskas, and Turskis; extended by Zolfani et al. | Based on Diakoulaki et al.'s CRITIC; modified variants developed later |
| Jenis≠ | Expert-based stepwise weight derivation with ratio refinement | Objective weight derivation via correlation and variance |
| Sumber perintis≠ | Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by evaluating opposing parties' interest in civil litigation. Journal of Civil Engineering and Management, 16(3), 412-422. link ↗ | 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 ↗ |
| Alias | SWARA II, SWARA 2 | CRITIC-M, Modified CRITIC |
| Berkaitan≠ | 4 | 3 |
| Ringkasan≠ | SWARA II (Step-wise Weight Assessment Ratio Analysis - Improved) is an enhanced variant of the SWARA method for deriving criterion weights from expert assessments. Instead of requiring pairwise comparisons or absolute weight assignments, SWARA II asks experts to rank criteria, then assess the relative importance of each criterion compared to the next-ranked one. Improved variants enhance robustness and interpretability of weight derivation. | 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. |
| ScholarGateSet data ↗ |
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