Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Atlase, pamatojoties uz relatīvo vērtību attālumiem× | Šenona entropijas svēršanas metode× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2015 | 1948 |
| Autors≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. | Shannon, C. E. |
| Tips≠ | Prospect-theory value function with reference-point separation | Information-theoretic objective weighting (Shannon entropy) |
| Pirmavots≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. (2015). A multiple criteria decision making method based on relative value distances. Foundations of Computing and Decision Sciences DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 4 | 8 |
| Kopsavilkums≠ | ERVD (Election based on Relative Value Distances) is a ranking multi-criteria decision-making (MCDM) method introduced by Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. in 2015. 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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