#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