Class TNorm
java.lang.Object
org.tweetyproject.math.func.fuzzy.TNorm
- All Implemented Interfaces:
BinaryFunction<Double,Double, Double>
- Direct Known Subclasses:
LukasiewiczNorm,MinimumNorm,ProductNorm
Represents a T-norm in fuzzy logic, i.e., a generalization of a logical
conjunction on values in [0,1].
- Author:
- Matthias Thimm
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionabstract DoubleEvaluates the function for the given elements.eval(Collection<Double> vals) Generalizes this norm on sets of input parameters (as t-norms are associative, the order is not important).evalTerm(Collection<Term> vals) Gives a representation of this norm as a mathematical term.abstract TermGives a representation of this norm as a mathematical termabstract TCoNormReturns the dual T-conorm of this T-norm.abstract booleanA T-norm is nilpotent if there are x,y>0 with t(x,y)=0
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Constructor Details
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TNorm
public TNorm()
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Method Details
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eval
Description copied from interface:BinaryFunctionEvaluates the function for the given elements.- Specified by:
evalin interfaceBinaryFunction<Double,Double, Double> - Parameters:
val1- some elementval2- some element- Returns:
- the value of the element.
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eval
Generalizes this norm on sets of input parameters (as t-norms are associative, the order is not important).- Parameters:
vals- a set of values- Returns:
- the evaluation result on the input
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evalTerm
Gives a representation of this norm as a mathematical term- Parameters:
val1- the term denoting the first parameterval2- the term denoting the second parameter- Returns:
- the term denoting this norm evaluation on the two terms
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evalTerm
Gives a representation of this norm as a mathematical term. Generalizes this norm on sets of input parameters (as t-norms are associative, the order is not important).- Parameters:
vals- a set of value terms- Returns:
- the evaluation result on the input as a term
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getDualCoNorm
Returns the dual T-conorm of this T-norm.- Returns:
- the dual T-conorm of this T-norm.
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isNilpotent
public abstract boolean isNilpotent()A T-norm is nilpotent if there are x,y>0 with t(x,y)=0- Returns:
- true if the norm is nilpotent
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