Package | Description |
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net.sf.tweety.logics.mln.analysis | |
net.sf.tweety.math.func | |
net.sf.tweety.math.norm |
Modifier and Type | Field and Description |
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private AggregationFunction |
AggregatingCoherenceMeasure.aggregator
The aggregation function used to aggregate the distances for each formula.
|
Constructor and Description |
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AggregatingCoherenceMeasure(RealVectorNorm norm,
AggregationFunction aggregator) |
Modifier and Type | Class and Description |
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class |
AverageAggregator
This aggregation function models the average function.
|
class |
MaxAggregator
This aggregation function models the maximum function.
|
class |
MinAggregator
This aggregation function models the minimum function.
|
class |
ProductAggregator
This aggregation function models the product function.
|
class |
SumAggregator
This aggregation function models the sum function.
|
Modifier and Type | Field and Description |
---|---|
private AggregationFunction |
ProbabilisticAggregatingNorm.aggregator
The aggregation function used for computing the distance.
|
private AggregationFunction |
AggregatingNorm.aggregator
The aggregation function used for computing the distance.
|
Constructor and Description |
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AggregatingNorm(AggregationFunction aggregator)
Creates a new distance function with the given aggregator.
|
ProbabilisticAggregatingNorm(AggregationFunction aggregator,
int weight)
Creates a new distance function with the given aggregator.
|