Uses of Class
org.tweetyproject.math.func.fuzzy.TNorm
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Uses of TNorm in org.tweetyproject.logics.pl.analysis
ModifierConstructorDescriptionFuzzyInconsistencyMeasure
(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 org.tweetyproject.math.func.fuzzy
Modifier and TypeClassDescriptionclass
Represents the Lukasiewicz-norm in fuzzy logic, i.e., T(x,y)=max(x+y-1,0)class
Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)class
Represents the product-norm in fuzzy logic, i.e., T(x,y)=xyModifier and TypeMethodDescriptionBoundedSum.getDualNorm()
MaximumCoNorm.getDualNorm()
ProbabilisticSum.getDualNorm()
abstract TNorm
TCoNorm.getDualNorm()
Returns the dual T-norm of this T-conorm.