Package | Description |
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net.sf.tweety.logics.pl.analysis | |
net.sf.tweety.math.func.fuzzy |
Modifier and Type | Field and Description |
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private TNorm |
FuzzyInconsistencyMeasure.tnorm
The used T-norm
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Constructor and Description |
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FuzzyInconsistencyMeasure(TNorm tnorm)
Creates a new measure for the given T-norm.
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FuzzyInconsistencyMeasure(TNorm tnorm,
byte measure_version)
Creates a new measure for the given T-norm.
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FuzzyInconsistencyMeasure(TNorm tnorm,
TCoNorm tconorm)
Creates a new measure (T Version) for the given T-norm and T-conorm.
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FuzzyInconsistencyMeasure(TNorm tnorm,
TCoNorm tconorm,
byte measure_version)
Creates a new measure for the given T-norm and T-conorm.
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Modifier and Type | Class and Description |
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class |
LukasiewiczNorm
Represents the Lukasiewicz-norm in fuzzy logic, i.e., T(x,y)=max(x+y-1,0)
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class |
MinimumNorm
Represents the minimum-norm in fuzzy logic, i.e., T(x,y)=min(x,y)
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class |
ProductNorm
Represents the product-norm in fuzzy logic, i.e., T(x,y)=xy
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Modifier and Type | Method and Description |
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TNorm |
ProbabilisticSum.getDualNorm() |
TNorm |
MaximumCoNorm.getDualNorm() |
TNorm |
BoundedSum.getDualNorm() |
abstract TNorm |
TCoNorm.getDualNorm()
Returns the dual T-norm of this T-conorm.
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