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#Properties file for afryca.consensusmodel.palomares2014
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Palomares2014
afryca.consensusmodel.palomares2014.information = Paper: I. Palomares, F.J. Quesada, L. Mart\u00EDnez, An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups. . 2014 International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 476-483, 2014.\\n\\nConsensus model that incorporates a novel mechanism based on computing with words and fuzzy set theory to assign weights to experts based on their behavior at each round of the consensus process. Each expert's behavior is evaluated based on the amount of received feedback that they apply in favor of consensus, and assigns them an importance weight accordingly, which is taken into account when computing the group preference.
afryca.consensusmodel.palomares2014.mainfeature = Fuzzy preference relations\\nComputation of weights for experts\\nFeedback mechanism
afryca.consensusmodel.palomares2014.name = I. Palomares et al. (2014)
afryca.consensusmodel.palomares2014.observations = \u0020
afryca.consensusmodel.palomares2014.variable.mu.description = Consensus threshold
afryca.consensusmodel.palomares2014.variable.max_rounds.description = Maximum number of discussion rounds allowed
afryca.consensusmodel.palomares2014.variable.epsilon.description = Acceptability threshold
afryca.consensusmodel.palomares2014.variable.alpha.description = Lower parameter of the linguistic quantifier used to weight experts based on their cooperation coefficient (its value may increase as the consensus process goes on)
afryca.consensusmodel.palomares2014.variable.beta.description = Higher parameter of the linguistic quantifier used to weight experts based on their cooperation coefficient (its value may increase as the consensus process goes on)
afryca.consensusmodel.palomares2014.variable.increment.description = Increment of alpha and beta parameters in the quantifier
afryca.consensusmodel.palomares2014.variable.h_start.description = Consensus round from which the membership function parameters of the linguistic quantifier start increasing, thus becoming more strict with the meaning of cooperativeness
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#Archivo de propiedades para afryca.consensusmodel.palomares2014
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Palomares2014
afryca.consensusmodel.palomares2014.information = Artículo: I. Palomares, F.J. Quesada, L. Mart\u00EDnez, An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups. 2014 International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 476-483, 2014.\\n\\nModelo de consenso que incorpora un nuevo mecanismo de computación con palabras y teoría de conjuntos difusos para asignar pesos a los expertos en base a su comportamiento en cada ronda del proceso de consenso. El comportamiento de cada experto es evaluado en base a la cantidad de recomendaciones recibidas que ha aplicado a favor del consenso. En base a ello el modelo asigna una importancia a cada experto que es tomada en consideración cuando se calcula la preferencia colectiva.
afryca.consensusmodel.palomares2014.mainfeature = Relaciones de preferencia difusas\\nCálculo de los pesos de los expertos\\nMecanismo de feedback
afryca.consensusmodel.palomares2014.name = I. Palomares et al. (2014)
afryca.consensusmodel.palomares2014.observations = \u0020
afryca.consensusmodel.palomares2014.variable.mu.description = Umbral de consenso
afryca.consensusmodel.palomares2014.variable.max_rounds.description = Máximo número de rondas de discusión permitido
afryca.consensusmodel.palomares2014.variable.epsilon.description = Umbral de aceptabilidad
afryca.consensusmodel.palomares2014.variable.alpha.description = Mínimo parámetro del cuantificador lingüístico usado para los pesos de los expertos en base a su coeficiente de cooperación (su valor se incrementará a medida que avance el proceso de consenso)
afryca.consensusmodel.palomares2014.variable.beta.description = Máximo parámetro del cuantificador lingüístico usado para los pesos de los expertos en base a su coeficiente de cooperación (su valor se incrementará a medida que avance el proceso de consenso)
afryca.consensusmodel.palomares2014.variable.increment.description = Incremento de los parámetros alpha y beta en el cuantificador
afryca.consensusmodel.palomares2014.variable.h_start.description = Rondas de consenso desde las cuales los parámetros de la función de pertenencia del cuantificador lingüístico comienzan a incrementarse para hacer más estricto el sentido de la cooperación