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| Class Summary | |
|---|---|
| ElectrePessimisticProgressive | |
| PreferencesProbabilisticDifference | Given two sets of preference parameters: weights and profiles, compute the probability that an alternative be assigned to the same category according to each preference model. |
| PreferencesProbabilisticDifferenceBySimulation | Given two sets of preference parameters: weights and profiles, compute the probability that an alternative be assigned to the same category according to each preference model. |
| PreferencesProbabilisticDifferenceOptimized | |
| ProfilesDistance | This object also accepts values outside of the relevant scale's boundaries. |
| ProfilesDistanceResult | |
| SortingAssigner | |
| StandardizeProfiles | Use this only when using true criteria, i.e. having no indifference or preference thresholds. |
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