#Properties file for afryca.consensusmodel.hongbin2018
ConsensusModel.Information = H. Liu, et al. Minimum-cost consensus. Not published yet\\n\\nMetric definition to compare different consensus models based on the cost.
ConsensusModel.Features = Fuzzy preference relations\\nMinimun cost consensus\\nDistance among experts\\nDistance among experts and collective\\nLinear programming\\n
ConsensusModel.Name = H. Liu et al. (2018)
ConsensusModel.Observations = There may not be a feasible solution
Bundle-Vendor = Sinbad2
Variable.description.epsilon = Minimum distance to the collective allowed
Variable.description.alpha = Consensus threshold
Variable.description.cost = Cost
Variable.description.weights = Experts' weights
Variable.description.model = Compute consensus through distance among experts (if it is not selected, then consensus degree will be computed based on the distance among experts and collective)
Bundle-Name = H.Liu2018