Package net.sf.tweety.math.func.fuzzy

Class Summary

Class	Description
BoundedSum	Represents the bounded sum in fuzzy logic, i.e., S(x,y)=min(x+y,1)
DefaultNegation	Implements the default fuzzy negation x -> x-1
FuzzyNegation	Represents a fuzzy negation, i.e., a generalization of a logical negation on values in [0,1].
LukasiewiczNorm	Represents the Lukasiewicz-norm in fuzzy logic, i.e., T(x,y)=max(x+y-1,0)
MaximumCoNorm	Represents the maximum-conorm in fuzzy logic, i.e., S(x,y)=max(x,y)
MinimumNorm	Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)
ProbabilisticSum	Represents the probabilistic sum in fuzzy logic, i.e., S(x,y)=x+y-xy
ProductNorm	Represents the product-norm in fuzzy logic, i.e., T(x,y)=xy
TCoNorm	Represents a T-norm in fuzzy logic, i.e., a generalization of a logical conjunction on values in [0,1].
TNorm	Represents a T-norm in fuzzy logic, i.e., a generalization of a logical conjunction on values in [0,1].