Uses of Interface
net.sf.tweety.math.func.BinaryFunction

Packages that use BinaryFunction

Package	Description
net.sf.tweety.logics.commons.analysis.streams
net.sf.tweety.logics.pl.examples
net.sf.tweety.math.func
net.sf.tweety.math.func.fuzzy

Uses of BinaryFunction in net.sf.tweety.logics.commons.analysis.streams

Fields in net.sf.tweety.logics.commons.analysis.streams declared as BinaryFunction

Modifier and Type	Field	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.

Uses of BinaryFunction in net.sf.tweety.logics.pl.examples

Fields in net.sf.tweety.logics.pl.examples declared as BinaryFunction

Modifier and Type	Field	Description
static BinaryFunction<java.lang.Double,java.lang.Double,java.lang.Double>	StreamInconsistencyEvaluationExample2.STANDARD_AGGFUNCTION

Uses of BinaryFunction in net.sf.tweety.math.func

Classes in net.sf.tweety.math.func that implement BinaryFunction

Modifier and Type	Class	Description
class	MaxFunction	The maximum function.
class	SmoothingFunction	A function that smoothes two values with a smooting factor, i.e.

Uses of BinaryFunction in net.sf.tweety.math.func.fuzzy

Classes in net.sf.tweety.math.func.fuzzy that implement BinaryFunction

Modifier and Type	Class	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].