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Ordered Weighted Averaging adaptativo à vizinhança×Método de Ponderação por Entropia de Shannon×
ÁreaTomada de decisãoTomada de decisão
FamíliaMCDMMCDM
Ano de origem20141948
Autor originalMalczewski, J.; Liu, X.Shannon, C. E.
TipoRange-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 everywhereInformation-theoretic objective weighting (Shannon entropy)
Fonte seminalMalczewski, 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 ↗
Outros nomes
Relacionados88
ResumoLOCAL-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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ScholarGateComparar métodos: LOCAL-OWA · ENTROPY. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare