手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| Fuzzy Logarithm Methodology of Additive Weights (TFN)× | MABAC（Multi-Attributive Border Approximation area Comparison）× | |
|---|---|---|
| 分野 | 意思決定 | 意思決定 |
| 系統 | MCDM | MCDM |
| 提唱年≠ | 2021 crisp; 2022 variant applicator | 2015 |
| 提唱者≠ | Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. | Pamučar, D., Ćirović, G. |
| 種類≠ | Triangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal point | Border approximation area (distance from BAA) |
| 原典≠ | Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI ↗ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗ |
| 別名 | — | — |
| 関連 | 8 | 8 |
| 概要≠ | F-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateデータセット ↗ |
|
|