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lokalt-adaptiv Vægtet Gennemsnit (Ordered Weighted Averaging)×Shannon-entropivægtmetoden×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår20141948
OphavspersonMalczewski, J.; Liu, X.Shannon, C. E.
TypeRange-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)
Oprindelig kildeMalczewski, 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 ↗
Aliasser
Relaterede88
ResuméLOCAL-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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ScholarGateSammenlign metoder: LOCAL-OWA · ENTROPY. Hentet 2026-06-17 fra https://scholargate.app/da/compare