Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Normalisation par somme linéaire× | Méthode de pondération par entropie de Shannon× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 1994 | 1948 |
| Auteur d'origine≠ | Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. | Shannon, C. E. |
| Type≠ | Normalization (linear-sum, stochastic) | Information-theoretic objective weighting (Shannon entropy) |
| Source fondatrice≠ | Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. (1994). Competitive comparison of contractors' offers in construction. Technika, Vilnius link ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Alias | — | — |
| Apparentées≠ | 3 | 8 |
| Résumé≠ | LINEAR-SUM-NORMALIZATION (Linear Sum Normalization — column-sum division (probability / stochastic normalisation)) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. in 1994. 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. |
| ScholarGateJeu de données ↗ |
|
|