Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Šenona entropijas svēršanas metode× | IF-ENTROPY× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 1948 | 1986 |
| Autors≠ | Shannon, C. E. | Atanassov, K. T. |
| Tips≠ | Information-theoretic objective weighting (Shannon entropy) | Information-theoretic objective weighting under Intuitionistic Fuzzy uncertainty (IF entropy → divergence → simplex-normalised crisp weights) |
| Pirmavots≠ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ | Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | 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. | IF-ENTROPY (Intuitionistic Fuzzy Entropy Weight Method (Vlachos-Sergiadis 2007 entropy measure as applied by Hung-Chen 2010)) is a weight objective multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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