Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| TOPSIS-e tõenäosuslik-lingvistiline laiendus× | Parim-Halvim Meetod× | |
|---|---|---|
| Valdkond | Otsustamine | Otsustamine |
| Perekond | MCDM | MCDM |
| Tekkeaasta≠ | 2019 | 2015 |
| Looja≠ | Lu, J., Wei, C. | Rezaei, J. |
| Tüüp≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Pairwise comparison (best-to-others + others-to-worst vectors), LP |
| Algallikas≠ | Lu, J., Wei, C. (2019). TOPSIS Method for Probabilistic Linguistic MAGDM with Entropy Weight and Its Application to Supplier Selection of New Agricultural Machinery Products. Entropy DOI ↗ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ |
| Rööpnimetused | — | — |
| Seotud | 8 | 8 |
| Kokkuvõte≠ | PL-TOPSIS (Probabilistic Linguistic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Lu, J., Wei, C. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateAndmestik ↗ |
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