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#Properties file for afryca.consensusmodel.chiclana2008
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Chiclana2008
afryca.consensusmodel.chiclana2008.information = Paper: F. Chiclana, F. Mata, L. Mart\u00EDnez, E. Herrera-Viedma, S. Alonso, Integration of a consistency control module within a consensus model. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 16, issue supp01, pp. 35-53, 2008.\\n\\nA model characterized by an adaptive feedback mechanism, in which the direction rules generated for experts depend on the level of agreement achieved at each round. To do this, three different consensus threshold are utilized. Consensus is computed at three levels based on similarity degrees between pairs of experts in their assessments.
afryca.consensusmodel.chiclana2008.mainfeature = Fuzzy preference relations\\nAdaptive feedback mechanism\\nSimilarities between experts\\n3-level consensus degrees
afryca.consensusmodel.chiclana2008.name = F. Chiclana et al. (2008)
afryca.consensusmodel.chiclana2008.observations = \u0020
afryca.consensusmodel.chiclana2008.variable.gamma.description = Consensus threshold indicating minimum agreement level to be reached
afryca.consensusmodel.chiclana2008.variable.consistency_control_module.description = Consistency control module
afryca.consensusmodel.chiclana2008.variable.theta1.description = Low consensus threshold: If consensus degree is lower than this value, a low consensus preference search is applied
afryca.consensusmodel.chiclana2008.variable.theta2.description = Medium consensus threshold: a medium or high consensus preference search is applied depending on whether consensus degree is lower or higher than this value, respectively
afryca.consensusmodel.chiclana2008.variable.beta.description = Consistency threshold for preferences
afryca.consensusmodel.chiclana2008.variable.maxrounds.description = Maximum number of consensus rounds allowed
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#Archivo de propiedades para afryca.consensusmodel.chiclana2008
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Chiclana2008
afryca.consensusmodel.chiclana2008.information = Paper: F. Chiclana, F. Mata, L. Mart\u00EDnez, E. Herrera-Viedma, S. Alonso, Integration of a consistency control module within a consensus model. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 16, issue supp01, pp. 35-53, 2008.\\n\\nUn modelo caracterizado por un mecanismo de feedback adaptativo, en el cual la dirección de las reglas generadas para los expertos depende el grado de acuerdo alcanzada en cada ronda. Para hacer esto, tres umbrales de consenso diferentes son utilizados. El consenso es calculado a tres niveles en base a los grados de similitud entre pares de expertos en sus valoraciones.
afryca.consensusmodel.chiclana2008.mainfeature = Relaciones de preferencia difusas\\nMecanismo de feedback adaptativo\\nSimilitud entre expertos\\n3 niveles de grados de consenso
afryca.consensusmodel.chiclana2008.name = F. Chiclana et al. (2008)
afryca.consensusmodel.chiclana2008.observations = \u0020
afryca.consensusmodel.chiclana2008.variable.gamma.description = Umbral de consenso indicando el nivel mínimo de acuerdo a alcanzar
afryca.consensusmodel.chiclana2008.variable.consistency_control_module.description = Módulo de control de consistencia
afryca.consensusmodel.chiclana2008.variable.theta1.description = Umbral mínimo de consenso: Si el grado de consenso es menor que este valor, es aplicada una búsqueda de preferencias con bajo consenso
afryca.consensusmodel.chiclana2008.variable.theta2.description = Umbral medio de consenso: Una búsqueda de medio o alto consenso es aplicada en función de si el grado de consenso es mejor o superior a este valor, respectivamente
afryca.consensusmodel.chiclana2008.variable.beta.description = Umbral de consistencia para las preferencias
afryca.consensusmodel.chiclana2008.variable.maxrounds.description = Máximo número de rondas de consenso permitidas