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2026-05-22 11:14:29 +02:00

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Properties

#Properties file for afryca.consensusmodel.ishizaka2018
Bundle-Name = Ishizaka2018
afryca.consensusmodel.ishizaka2018.name = A. Ishizaka et al. (2018)
afryca.consensusmodel.ishizaka2018.information = Paper: A. Ishizaka, L. Martínez. Consensual Group-AHPSort: Applying consensus to GAHPSort\\n\\nThe proposal considers the use of a consensus process in the Group-AHPSort proposal to achieve a minimum degree of consensus before the aggregation processess. In this way, it is possible to avoid the misclassifications produce by desagreement among experts.
afryca.consensusmodel.ishizaka2018.features = Consensus process\\nMinimum cost consensus\\nMulti-criteria\\nLinear programming
afryca.consensusmodel.ishizaka2018.observations = The proposal uses multiplicative preference relation with Saaty scale.
afryca.consensus.model.ishizaka2018.variable.central.description = Use central profiles
afryca.consensus.model.ishizaka2018.variable.classes.description = The ordered classification classes
afryca.consensus.model.ishizaka2018.variable.cost.description = Experts' cost
afryca.consensus.model.ishizaka2018.variable.classes.default = Accept;Refuse
afryca.consensus.model.ishizaka2018.variable.criteria.description = Insert pairwise criteria comparison
afryca.consensus.model.ishizaka2018.variable.epsilon.description = Minimum distance to the collective allowed
afryca.consensus.model.ishizaka2018.variable.profiles.description = Insert profiles of the classes
afryca.consensus.model.ishizaka2018.variable.vision.description = Pessimistic vision (not selected means optimistic vision)
afryca.consensus.model.ishizaka2018.variable.pairwise.description = Insert pairwise comparison between profiles and alternatives
afryca.consensus.model.ishizaka2018.variable.weights.description = Experts' weights