Uses of Class
net.sf.tweety.math.func.fuzzy.TNorm

Packages that use TNorm

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

Uses of TNorm in net.sf.tweety.logics.pl.analysis

Fields in net.sf.tweety.logics.pl.analysis declared as TNorm

Modifier and Type	Field	Description
private TNorm	FuzzyInconsistencyMeasure.tnorm	The used T-norm

Constructors in net.sf.tweety.logics.pl.analysis with parameters of type TNorm

Constructor	Description
FuzzyInconsistencyMeasure(TNorm tnorm)	Creates a new measure for the given T-norm.
FuzzyInconsistencyMeasure(TNorm tnorm, byte measure_version)	Creates a new measure for the given T-norm.
FuzzyInconsistencyMeasure(TNorm tnorm, TCoNorm tconorm)	Creates a new measure (T Version) for the given T-norm and T-conorm.
FuzzyInconsistencyMeasure(TNorm tnorm, TCoNorm tconorm, byte measure_version)	Creates a new measure for the given T-norm and T-conorm.

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

Subclasses of TNorm in net.sf.tweety.math.func.fuzzy

Modifier and Type	Class	Description
class	LukasiewiczNorm	Represents the Lukasiewicz-norm in fuzzy logic, i.e., T(x,y)=max(x+y-1,0)
class	MinimumNorm	Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)
class	ProductNorm	Represents the product-norm in fuzzy logic, i.e., T(x,y)=xy

Methods in net.sf.tweety.math.func.fuzzy that return TNorm

Modifier and Type	Method	Description
TNorm	BoundedSum.getDualNorm()
TNorm	MaximumCoNorm.getDualNorm()
TNorm	ProbabilisticSum.getDualNorm()
abstract TNorm	TCoNorm.getDualNorm()	Returns the dual T-norm of this T-conorm.