| 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() |