Bandingkan metode
Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.
| Metode Fuzzy BWM× | Perbandingan Luas Aproksimasi Batas Multi-Atribut× | |
|---|---|---|
| Bidang | Pengambilan Keputusan | Pengambilan Keputusan |
| Keluarga | MCDM | MCDM |
| Tahun asal≠ | 2015 crisp; 2017 variant applicator | 2015 |
| Pencetus≠ | Guo, S., Zhao, H. | Pamučar, D., Ćirović, G. |
| Tipe≠ | Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming | Border approximation area (distance from BAA) |
| Sumber perintis≠ | Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems 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 ↗ |
| Alias | — | — |
| Terkait | 8 | 8 |
| Ringkasan≠ | FUZZY-BWM (Fuzzy BWM — Triangular Fuzzy Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Guo, S., Zhao, H. in 2015 crisp; 2017 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. |
| ScholarGateSet data ↗ |
|
|