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+#Properties file for afryca.consensusmodel.rodriguez2017
+afryca.consensusModel.rodriguez2017.information=Paper: R. Rodríguez, Á. Labella, Guy De Tré and Luis Martínez. A large scale consensus reaching process managing group hesitation. Knowledge-Based Systems (86-97), vol.159, (2018).\\n\\nConsensus model to deal with large scale group decision making which uses a clustering process, based on FuzzyCMeans method, to weight experts's sub-groups taking into account its size and cohesion. The expert's sub-groups are modeled using hesitant fuzzy sets to avoid losing of information. Furthermore, an adaptive feedback process is defined in which generates advises depending on the consensus level achieved to reduce the time cost of the consensus reaching process.
+afryca.consensusModel.rodriguez2017.mainFeatures = Fuzzy preference relations\\nHesitant preference relations\\nClustering\\nFeedback process
+afryca.consensusModel.rodriguez2017.name=R. Rodriguez et al. (2018)
+afryca.consensusModel.rodriguez2017.observations = No observations
+afryca.consensusmodel.rodriguez2017.variable.theta.description=Consensus threshold
+afryca.consensusmodel.rodriguez2017.variable.delta.description=Level of consensus for the advice generation
+afryca.consensusmodel.rodriguez2017.variable.beta.description=Modify the cohesion
+afryca.consensusmodel.rodriguez2017.variable.pointA.description=Point A Membership Function
+afryca.consensusmodel.rodriguez2017.variable.pointB.description=Point B Membership Function
+afryca.consensusmodel.rodriguez.variable.h_max.description = Maximum number of discussion rounds allowed
+afryca.consensusmodel.rodriguez2017.variable.distance_measure_minkowski.description =  Minkowski distance measure
+Bundle-Name = Rodriguez2017
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+#Properties file for afryca.consensusmodel.rodriguez2017
+afryca.consensusModel.rodriguez2017.information=Paper: R. Rodríguez, Á. Labella, Guy De Tré y Luis Martínez. A large scale consensus reaching process managing group hesitation. Knowledge-Based Systems (86-97), vol.159, (2018).\\n\\\nModelo de consenso para tratar con problemas de toma de decisión en grupo a gran escala que emplea un proceso de agrupación, basado en el método FuzzyCMean, para ponderar los subgrupos de expertos teniendo en cuenta su tamaño y cohesion. Los subgrupos de los expertos se modelan usando conjuntos difusos dudosos para evitar la pérdida de información. Además se incluye un proceso de generación de recomendaciones adaptativo en el que se generan las recomendaciones dependiendo del nivel de consenso alcanzado, reduciendo así el tiempo de coste del proceso de alcance de consenso.
+afryca.consensusModel.rodriguez2017.mainFeatures = Relaciones de preferencias difusas\\nRelaciones de preferencias dudosas\\nAgrupación\\nGeneración de recomendaciones
+afryca.consensusModel.rodriguez2017.name=R. Rodriguez et al. (2018)
+afryca.consensusModel.rodriguez2017.observations = Sin observaciones
+afryca.consensusmodel.rodriguez2017.variable.theta.description=Umbral de consenso
+afryca.consensusmodel.rodriguez2017.variable.delta.description=Nivel de consenso para la generación de recomendaciones
+afryca.consensusmodel.rodriguez2017.variable.beta.description=Modifica la cohesion
+afryca.consensusmodel.rodriguez2017.variable.pointA.description=Point A Funcion de pertenencia
+afryca.consensusmodel.rodriguez2017.variable.pointB.description=Point B Funcion de pertenencia
+afryca.consensusmodel.rodriguez.variable.h_max.description = Máximo número de rondas de discusión permitidas
+afryca.consensusmodel.rodriguez2017.variable.distance_measure_minkowski.description =  Medida de distancia de Minkowski
+Bundle-Name = Rodriguez2017