Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| PiF-MOORA× | Optimizācija ar vairākiem mērķiem, izmantojot attiecību analīzi× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2013 | 2006 |
| Autors≠ | Cuong, B. C., Kreinovich, V. | Brauers, W. K. M., Zavadskas, E. K. |
| Tips≠ | Picture outranking/ranking — Picture Fuzzy Set (PiFS: μ, η, ν; μ+η+ν ≤ 1) | Ratio system + reference point (vector normalisation) |
| Pirmavots≠ | Cuong, B. C., Kreinovich, V. (2013). Picture fuzzy sets — A new concept for computational intelligence problems. 2013 Third World Congress on Information and Communication Technologies (WICT 2013) DOI ↗ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 2 | 8 |
| Kopsavilkums≠ | PIF-MOORA (PiF-MOORA — Picture extension of MOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
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