#Properties file for afryca.consensusmodel.palomares2014cluster
afryca.consensusmodel.palomares2014cluster.information  = Paper:Palomares, I., Martinez, L., & Herrera, F. A consensus model to detect and manage noncooperative behaviors in large-scale group decision making. IEEE Transactions on Fuzzy Systems, 22(3), pp. 516-530, 2014\\n I. Palomares \\n Consensus model suitable to manage large scales of decision makers, which incorporates a fuzzy clustering-based scheme to detect and manage individual and subgroup noncooperative behaviors
afryca.consensusmodel.palomares2014cluster.MainFeatures = Clustering  \\n Detección de comportamientos no cooperativos \\ Penalizacion de pesos completa \\n Retroalimentacion
afryca.consensusmodel.palomares2014cluster.Name = I. Palomares et al. (TFS-2014)
afryca.consensusmodel.palomares2014cluster.Observations = No observations
afryca.consensusmodel.palomares2014cluster.variable.max_rounds.description = Número mmáximo de rondas
afryca.consensusmodel.palomares2014cluster.variable.epsilon.description = Umbral de aceptabilidad
afryca.consensusmodel.palomares2014cluster.variable.distance_measure_minkowski.description = Medida de distancia Minkowski
afryca.consensusmodel.palomares2014cluster.variable.cluster_similiraty_threshold.description = Umbral de similitud entre clasters
afryca.consensusmodel.palomares2014cluster.variable.min_distance_cluster.description = Distancia minima entre clusters parecidos
afryca.consensusmodel.palomares2014cluster.variable.outlier_threshold.description = Umbral del mecanismo de expertos solitarios(outliers)
afryca.consensusmodel.palomares2014cluster.variable.outlier_membership.description = Umbral de pertenecia a un claster para expertos solitarios(outliers)
afryca.consensusmodel.palomares2014cluster.variable.consensus_threshold.description = Umbral de consenso
Bundle-Name = Palomares2014cluster