The GaussianProduct class is an extended Term that represents the two-sided Gaussian membership function. More...

#include <GaussianProduct.h>

Inheritance diagram for fl::GaussianProduct:

Collaboration diagram for fl::GaussianProduct:

Public Member Functions
	GaussianProduct (const std::string &name="", scalar meanA=fl::nan, scalar standardDeviationA=fl::nan, scalar meanB=fl::nan, scalar standardDeviationB=fl::nan, scalar height=1.0)

virtual	~GaussianProduct () FL_IOVERRIDE

virtual std::string	className () const FL_IOVERRIDE
	Returns the name of the class of the term. More...

virtual std::string	parameters () const FL_IOVERRIDE
	Provides the parameters of the term. More...

virtual void	configure (const std::string &parameters) FL_IOVERRIDE
	Configures the term with the parameters. More...

virtual Complexity	complexity () const FL_IOVERRIDE
	Computes the estimated complexity of evaluating the membership function. More...

virtual scalar	membership (scalar x) const FL_IOVERRIDE
	Computes the membership function evaluated at $x$. More...

virtual void	setMeanA (scalar meanA)
	Sets the mean of the first Gaussian curve. More...

virtual scalar	getMeanA () const
	Gets the mean of the first Gaussian curve. More...

virtual void	setStandardDeviationA (scalar standardDeviationA)
	Sets the standard deviation of the first Gaussian curve. More...

virtual scalar	getStandardDeviationA () const
	Gets the standard deviation of the first Gaussian curve. More...

virtual void	setMeanB (scalar meanB)
	Sets the mean of the second Gaussian curve. More...

virtual scalar	getMeanB () const
	Gets the mean of the second Gaussian curve. More...

virtual void	setStandardDeviationB (scalar standardDeviationB)
	Sets the standard deviation of the second Gaussian curve. More...

virtual scalar	getStandardDeviationB () const
	Gets the standard deviation of the second Gaussian curve. More...

virtual GaussianProduct *	clone () const FL_IOVERRIDE
	Creates a clone of the term. More...

Public Member Functions inherited from fl::Term
	Term (const std::string &name="", scalar height=1.0)

virtual	~Term ()

virtual void	setName (const std::string &name)
	Sets the name of the term. More...

virtual std::string	getName () const
	Gets the name of the term. More...

virtual void	setHeight (scalar height)
	Sets the height of the term. More...

virtual scalar	getHeight () const
	Gets the height of the term. More...

virtual std::string	toString () const
	Returns the representation of the term in the FuzzyLite Language. More...

virtual void	updateReference (const Engine *engine)
	Updates the references (if any) to point to the current engine (useful when cloning engines or creating terms within Importer objects. More...

Static Public Member Functions
static Term *	constructor ()

Additional Inherited Members
Protected Attributes inherited from fl::Term
scalar	_height

Detailed Description

The GaussianProduct class is an extended Term that represents the two-sided Gaussian membership function.

Author: Juan Rada-Vilela, Ph.D.

See also: Term; Variable

Since: 4.0

Definition at line 35 of file GaussianProduct.h.

Constructor & Destructor Documentation

◆ GaussianProduct()

fl::GaussianProduct::GaussianProduct	(	const std::string &	name = `""`,
		scalar	meanA = `fl::nan`,
		scalar	standardDeviationA = `fl::nan`,
		scalar	meanB = `fl::nan`,
		scalar	standardDeviationB = `fl::nan`,
		scalar	height = `1.0`
	)

explicit

◆ ~GaussianProduct()

virtual fl::GaussianProduct::~GaussianProduct ( )

virtual

Member Function Documentation

◆ className()

virtual std::string fl::GaussianProduct::className ( ) const

virtual

Returns the name of the class of the term.

Returns: the name of the class of the term

Implements fl::Term.

◆ clone()

virtual GaussianProduct* fl::GaussianProduct::clone ( ) const

virtual

Creates a clone of the term.

Returns: a clone of the term

Implements fl::Term.

◆ complexity()

virtual Complexity fl::GaussianProduct::complexity ( ) const

virtual

Computes the estimated complexity of evaluating the membership function.

Returns: the estimated complexity of evaluating the membership function

Implements fl::Term.

◆ configure()

virtual void fl::GaussianProduct::configure ( const std::string & parameters )

virtual

Configures the term with the parameters.

Parameters

parameters as "meanA standardDeviationA meanB standardDeviationB [height]"

Implements fl::Term.

◆ constructor()

static Term* fl::GaussianProduct::constructor ( )

static

◆ getMeanA()

virtual scalar fl::GaussianProduct::getMeanA ( ) const

virtual

Gets the mean of the first Gaussian curve.

Returns: the mean of the first Gaussian curve

◆ getMeanB()

virtual scalar fl::GaussianProduct::getMeanB ( ) const

virtual

Gets the mean of the second Gaussian curve.

Returns: the mean of the second Gaussian curve

◆ getStandardDeviationA()

virtual scalar fl::GaussianProduct::getStandardDeviationA ( ) const

virtual

Gets the standard deviation of the first Gaussian curve.

Returns: the standard deviation of the first Gaussian curve

◆ getStandardDeviationB()

virtual scalar fl::GaussianProduct::getStandardDeviationB ( ) const

virtual

Gets the standard deviation of the second Gaussian curve.

Returns: the standard deviation of the second Gaussian curve

◆ membership()

virtual scalar fl::GaussianProduct::membership ( scalar x ) const

virtual

Computes the membership function evaluated at $x$.

Parameters

x

Returns: $ h \left((1 - i) + i \times \exp(-(x - \mu_a)^2 / (2\sigma_a^2))\right) \left((1 - j) + j \times \exp(-(x - \mu_b)^2 / (2 \sigma_b)^2)\right) $

where $h$ is the height of the Term, $\mu_a$ is the mean of the first GaussianProduct, $\sigma_a$ is the standard deviation of the first GaussianProduct, $\mu_b$ is the mean of the second GaussianProduct, $\sigma_b$ is the standard deviation of the second GaussianProduct, $i=\begin{cases}1 & \mbox{if $x \leq \mu_a$} \cr 0 &\mbox{otherwise}\end{cases}$, $j=\begin{cases}1 & \mbox{if $x \geq \mu_b$} \cr 0 &\mbox{otherwise}\end{cases}$

Implements fl::Term.

◆ parameters()

virtual std::string fl::GaussianProduct::parameters ( ) const

virtual

Provides the parameters of the term.

Returns: "meanA standardDeviationA meanB standardDeviationB [height]"

Implements fl::Term.

◆ setMeanA()

virtual void fl::GaussianProduct::setMeanA ( scalar meanA )

virtual

Sets the mean of the first Gaussian curve.

Parameters

meanA is the mean of the first Gaussian curve

◆ setMeanB()

virtual void fl::GaussianProduct::setMeanB ( scalar meanB )

virtual

Sets the mean of the second Gaussian curve.

Parameters

meanB is the mean of the second Gaussian curve

◆ setStandardDeviationA()

virtual void fl::GaussianProduct::setStandardDeviationA ( scalar standardDeviationA )

virtual

Sets the standard deviation of the first Gaussian curve.

Parameters

standardDeviationA is the standard deviation of the first Gaussian curve

◆ setStandardDeviationB()

virtual void fl::GaussianProduct::setStandardDeviationB ( scalar standardDeviationB )

virtual

Sets the standard deviation of the second Gaussian curve.

Parameters

standardDeviationB is the standard deviation of the second Gaussian curve

The documentation for this class was generated from the following file:

fuzzylite/fl/term/GaussianProduct.h

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ GaussianProduct()

◆ ~GaussianProduct()

Member Function Documentation

◆ className()

◆ clone()

◆ complexity()

◆ configure()

◆ constructor()

◆ getMeanA()

◆ getMeanB()

◆ getStandardDeviationA()

◆ getStandardDeviationB()

◆ membership()

◆ parameters()

◆ setMeanA()

◆ setMeanB()

◆ setStandardDeviationA()

◆ setStandardDeviationB()