Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Probabilistiska lingvistiskā TODIM paplašinājuma versija× | CILOS× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2017 | 2016 |
| Autors≠ | Liu, P., Teng, F. | Zavadskas, E. K., Podvezko, V. |
| Tips≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Pirmavots≠ | Liu, P., Teng, F. (2017). Probabilistic linguistic TODIM approach for multiple attribute decision-making. Granular Computing DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | PL-TODIM (Probabilistic Linguistic extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Liu, P., Teng, F. in 2017. 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. |
| ScholarGateDatu kopa ↗ |
|
|