Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Preferenču ranžēšana, pamatojoties uz ideālo-vidējo attālumu× | Šenona entropijas svēršanas metode× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2021 | 1948 |
| Autors≠ | Wang, Z., Rangaiah, G. P., Wang, X. | Shannon, C. E. |
| Tips≠ | Multi-ideal distance ranking with harmonic weighting | Information-theoretic objective weighting (Shannon entropy) |
| Pirmavots≠ | Wang, Z., Rangaiah, G. P., Wang, X. (2021). Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making. Industrial & Engineering Chemistry Research DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 5 | 8 |
| Kopsavilkums≠ | PROBID (Preference Ranking on the Basis of Ideal-Average Distance) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, Z., Rangaiah, G. P., Wang, X. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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