The MeanOfMaximum class is an IntegralDefuzzifier that computes the mean value of the maximum membership function of a fuzzy set represented in a Term.
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#include <MeanOfMaximum.h>
The MeanOfMaximum class is an IntegralDefuzzifier that computes the mean value of the maximum membership function of a fuzzy set represented in a Term.
- Author
- Juan Rada-Vilela, Ph.D.
- See also
- SmallestOfMaximum
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MeanOfMaximum
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IntegralDefuzzifier
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Defuzzifier
- Since
- 4.0
Definition at line 36 of file MeanOfMaximum.h.
◆ MeanOfMaximum()
◆ ~MeanOfMaximum()
virtual fl::MeanOfMaximum::~MeanOfMaximum |
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virtual |
◆ className()
virtual std::string fl::MeanOfMaximum::className |
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const |
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virtual |
Returns the name of the class of the defuzzifier.
- Returns
- the name of the class of the defuzzifier
Implements fl::Defuzzifier.
◆ clone()
Creates a clone of the defuzzifier.
- Returns
- a clone of the defuzzifier
Implements fl::Defuzzifier.
◆ complexity()
virtual Complexity fl::MeanOfMaximum::complexity |
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const Term * |
term | ) |
const |
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virtual |
Computes the complexity of defuzzifying the given term.
- Parameters
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term | is the term to defuzzify |
- Returns
- the complexity of defuzzifying the given term
Implements fl::Defuzzifier.
◆ constructor()
◆ defuzzify()
Computes the mean value of the maximum membership function of a fuzzy set.
The mean value is computed while integrating over the fuzzy set. The integration algorithm is the midpoint rectangle method (https://en.wikipedia.org/wiki/Rectangle_method).
- Parameters
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term | is the fuzzy set |
minimum | is the minimum value of the fuzzy set |
maximum | is the maximum value of the fuzzy set |
- Returns
- the mean \(x\)-coordinate of the maximum membership function value in the fuzzy set
Implements fl::Defuzzifier.
The documentation for this class was generated from the following file: