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| Perluasan intuitif dari MABAC× | Metode pembobotan objektif Dampak Kriteria LOS (CILOS)× | |
|---|---|---|
| Bidang | Pengambilan Keputusan | Pengambilan Keputusan |
| Keluarga | MCDM | MCDM |
| Tahun asal≠ | 2021 | 2016 |
| Pencetus≠ | Li, Y. | Zavadskas, E. K., Podvezko, V. |
| Tipe≠ | Intuitionistic outranking/ranking — Intuitionistic Fuzzy Number (IFN: μ, ν; μ+ν ≤ 1) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Sumber perintis≠ | 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, 42(6), 3016-3028. [Canonical MABAC source; cited in place of the retracted Li (2021) intuitionistic-fuzzy MABAC paper, doi:10.1155/2021/5536751.] DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Alias | — | — |
| Terkait | 8 | 8 |
| Ringkasan≠ | IF-MABAC (Intuitionistic extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, Y. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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