| Package | Description | 
|---|---|
| net.sf.tweety.logics.pl.analysis | |
| net.sf.tweety.math.func.fuzzy | 
| Modifier and Type | Field and Description | 
|---|---|
private TCoNorm | 
FuzzyInconsistencyMeasure.tconorm
The used T-conorm 
 | 
| Constructor and Description | 
|---|
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. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
BoundedSum
Represents the bounded sum in fuzzy logic, i.e., S(x,y)=min(x+y,1) 
 | 
class  | 
MaximumCoNorm
Represents the maximum-conorm in fuzzy logic, i.e., S(x,y)=max(x,y) 
 | 
class  | 
ProbabilisticSum
Represents the probabilistic sum in fuzzy logic, i.e., S(x,y)=x+y-xy 
 | 
| Modifier and Type | Method and Description | 
|---|---|
abstract TCoNorm | 
TNorm.getDualCoNorm()
Returns the dual T-conorm of this T-norm. 
 | 
TCoNorm | 
ProductNorm.getDualCoNorm()  | 
TCoNorm | 
MinimumNorm.getDualCoNorm()  | 
TCoNorm | 
LukasiewiczNorm.getDualCoNorm()  |