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

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.