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This commit is contained in:
Francisco J. Martínez Mimbrera
2026-05-22 11:14:29 +02:00
parent 427197ec5a
commit b8141736eb
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plugins/afryca.consensusmodel.hongbin2018/OSGI-INF/l10n/bundle.properties
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#Properties file for afryca.consensusmodel.hongbin2018
ConsensusModel.Information = H. Liu, et al. Minimum-cost consensus. Not published yet\\n\\nMetric definition to compare different consensus models based on the cost.
ConsensusModel.Features = Fuzzy preference relations\\nMinimun cost consensus\\nDistance among experts\\nDistance among experts and collective\\nLinear programming\\n
ConsensusModel.Name = H. Liu et al. (2018)
ConsensusModel.Observations = There may not be a feasible solution
Bundle-Vendor = Sinbad2
Variable.description.epsilon = Minimum distance to the collective allowed
Variable.description.alpha = Consensus threshold
Variable.description.cost = Cost
Variable.description.weights = Experts' weights
Variable.description.model = Compute consensus through distance among experts (if it is not selected, then consensus degree will be computed based on the distance among experts and collective)
Bundle-Name = H.Liu2018
plugins/afryca.consensusmodel.hongbin2018/OSGI-INF/l10n/bundle_es.properties
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#Properties file for afryca.consensusmodel.hongbin2018
ConsensusModel.Information = H. Liu, et al. Consenso de mínimo coste. Aún no publicado\\n\\nNueva métrica para comparar diferentes modelos de consensos basada en el coste.
ConsensusModel.Features = Relaciones de preferencia difusas\\nConsenso de mínimo coste\\nConsenso calculado mediante distancia entre expertos\\nConsenso calculado mediante distancia entre expertos y colectiva\\nProgramación lineal\\n
ConsensusModel.Name = H. Liu et al. (2018)
ConsensusModel.Observations = Podría no haber soluciones factibles
Bundle-Vendor = Sinbad2
Variable.description.epsilon = Mínima distancia a la colectiva permitida
Variable.description.alpha = Umbral de consenso
Variable.description.cost = Costes
Variable.description.weights = Pesos de expertos
Variable.description.model = Calcular consenso mediante distancia entre expertos (si no se selecciona, el grado de consenso se calculará en base a la distancia entre los expertos y la colectiva)
Bundle-Name = H.Liu2018