13 lines
1.9 KiB
Properties
13 lines
1.9 KiB
Properties
#Properties file for afryca.consensusmodel.chiclana2008
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Bundle-Vendor = Sinbad\u00B2
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Bundle-Name = Chiclana2008
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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.
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afryca.consensusmodel.chiclana2008.mainfeature = Fuzzy preference relations\\nAdaptive feedback mechanism\\nSimilarities between experts\\n3-level consensus degrees
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afryca.consensusmodel.chiclana2008.name = F. Chiclana et al. (2008)
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afryca.consensusmodel.chiclana2008.observations = \u0020
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afryca.consensusmodel.chiclana2008.variable.gamma.description = Consensus threshold indicating minimum agreement level to be reached
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afryca.consensusmodel.chiclana2008.variable.consistency_control_module.description = Consistency control module
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afryca.consensusmodel.chiclana2008.variable.theta1.description = Low consensus threshold: If consensus degree is lower than this value, a low consensus preference search is applied
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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
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afryca.consensusmodel.chiclana2008.variable.beta.description = Consistency threshold for preferences
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afryca.consensusmodel.chiclana2008.variable.maxrounds.description = Maximum number of consensus rounds allowed |