Package | Description |
---|---|
net.sf.tweety.logics.commons.analysis.streams | |
net.sf.tweety.logics.pl.test | |
net.sf.tweety.math.func | |
net.sf.tweety.math.func.fuzzy |
Modifier and Type | Field and Description |
---|---|
private BinaryFunction<java.lang.Double,java.lang.Double,java.lang.Double> |
WindowInconsistencyMeasurementProcess.agg
If X1 is the previous
inconsistency value, X2 is the new inconsistency value on the new window, then
the actual new inconsistency value X is determined by aggregating X1 and X2 with this function.
|
Modifier and Type | Field and Description |
---|---|
static BinaryFunction<java.lang.Double,java.lang.Double,java.lang.Double> |
StreamInconsistencyEvaluation2.STANDARD_AGGFUNCTION |
Modifier and Type | Class and Description |
---|---|
class |
MaxFunction
The maximum function.
|
class |
SmoothingFunction
A function that smoothes two values with a smooting factor, i.e.
|
Modifier and Type | Class and Description |
---|---|
class |
BoundedSum
Represents the bounded sum in fuzzy logic, i.e., S(x,y)=min(x+y,1)
|
class |
LukasiewiczNorm
Represents the Lukasiewicz-norm in fuzzy logic, i.e., T(x,y)=max(x+y-1,0)
|
class |
MaximumCoNorm
Represents the maximum-conorm in fuzzy logic, i.e., S(x,y)=max(x,y)
|
class |
MinimumNorm
Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)
|
class |
ProbabilisticSum
Represents the probabilistic sum in fuzzy logic, i.e., S(x,y)=x+y-xy
|
class |
ProductNorm
Represents the product-norm in fuzzy logic, i.e., T(x,y)=xy
|
class |
TCoNorm
Represents a T-norm in fuzzy logic, i.e., a generalization of a logical
conjunction on values in [0,1].
|
class |
TNorm
Represents a T-norm in fuzzy logic, i.e., a generalization of a logical
conjunction on values in [0,1].
|