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| LOCAL-OWA (Ordered Weighted Averaging adattivo al vicinato)× | Metodo di ponderazione dell'entropia di Shannon× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2014 | 1948 |
| Ideatore≠ | Malczewski, J.; Liu, X. | Shannon, C. E. |
| Tipo≠ | Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhere | Information-theoretic objective weighting (Shannon entropy) |
| Fonte seminale≠ | Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Alias | — | — |
| Correlati | 8 | 8 |
| Sintesi≠ | LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. 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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