A wrapper for the FIS object. More...

#include <fis.hpp>

Public Member Functions
constexpr	system (const rules *r)

bool	setup (void)
	Setup and initialize the FIS instance.

bool	setupInput (const tag t, const real_t Min, const real_t Max) noexcept
	Setup the input with the specified tag and set limits for it.

bool	setupOutput (const tag t, const real_t Min, const real_t Max) noexcept
	Setup the output with the specified tag and set limits for it.

bool	setupInputMF (const tag io, const tag mf, const shapeMF s, const real_t *cp, const real_t h=1.0_re) noexcept
	Setup the input tag and points for the specified membership function.

bool	setupInputMF (const tag io, const tag mf, mfFunction customMfs, const real_t *cp, const real_t h=1.0_re) noexcept
	Setup the input tag and points for the specified membership function.

bool	setupOutputMF (const tag io, const tag mf, const shapeMF s, const real_t *cp, const real_t h=1.0_re) noexcept
	Set the output tag and points for the specified membership function.

bool	setupOutputMF (const tag io, const tag mf, mfFunction customMfs, const real_t *cp, const real_t h=1.0_re) noexcept
	Set the output tag and points for the specified membership function.

bool	fuzzify (void) noexcept
	Perform the fuzzification operation over the crisp inputs on the requested FIS object.

bool	deFuzzify (void) noexcept
	Perform the de-Fuzzification operation to compute the crisp outputs.

bool	inference (void) noexcept
	Perform the inference process on the FIS object.

bool	setInput (const tag t, const real_t value) noexcept
	Set a crisp value of the input with the specified tag.

bool	getOutput (const tag t, real_t &value) const noexcept
	Get the de-fuzzified crisp value from the output with the specified tag.

bool	setParameter (const parameter p, const paramValue x) noexcept
	Set parameters of the FIS instance.

bool	setDeFuzzMethod (deFuzzMethod m) noexcept
	Change the default de-Fuzzification method of the FIS instance.

bool	setRuleWeights (real_t *rWeights) noexcept
	Set weights to the rules of the inference system.

size_t	getNumberOfPoints (void) const noexcept
	Get the number of points used on Mamdani to perform the de-fuzzification proccess.

real_t	operator[] (tag outTag) const
	Get the de-fuzzified crisp value from the output with the specified tag.

system &	operator<< (const tag &t)
	Select the input to set using with the specified tag.

system &	operator<< (const int &value)
	The value to set the previously selected input.

system &	operator<< (const real_t &value)
	The value to set the previously selected input.

Detailed Description

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>
class qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >

A wrapper for the FIS object.

The instance should be initialized using the fisSystem::setup() method.

Template Parameters

fType	Type of inference Mamdani, Sugeno or Tsukamoto.
numberOfInputs	The number of inputs of the FIS system.
numberOfOutputs	The number of outputs of the FIS system.
numberOfInputSets	The number of sets/membership functions for the inputs.
numberOfOutputSets	The number of sets/membership functions for the outputs.
numberOfRules	Number of rules

Constructor & Destructor Documentation

◆ system()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::system ( const rules * r )

inlineconstexpr

Member Function Documentation

◆ deFuzzify()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::deFuzzify ( void )

inlinenoexcept

Perform the de-Fuzzification operation to compute the crisp outputs.

Precondition: The instance should have already invoked the inference process successfully with system::inference()

Note: By default, this method, uses the Centroid method on Mamdani type FIS and weight-average on Sugeno type FIS. To change the default settings use the system::setDeFuzzMethod() function.

Returns: true on success, otherwise return false.

◆ fuzzify()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::fuzzify ( void )

inlinenoexcept

Perform the fuzzification operation over the crisp inputs on the requested FIS object.

Precondition: I/Os and fuzzy sets must be previously initialized by system::setupInput(), system::setupOutput(), system::setupInputMF(), system::setupOutputMF and system::setup() respectively.

Returns: true on success, otherwise return false.

◆ getNumberOfPoints()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

size_t qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::getNumberOfPoints ( void ) const

inlinenoexcept

Get the number of points used on Mamdani to perform the de-fuzzification proccess.

Returns: The number for points for de-fuzzification.

◆ getOutput()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::getOutput	(	const tag	t,
		real_t &	value ) const

inlinenoexcept

Get the de-fuzzified crisp value from the output with the specified tag.

Parameters

[in]	t	The output tag
[out]	value	The variable where the output will be stored.

Returns: The requested de-fuzzified crisp value.

◆ inference()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::inference ( void )

inlinenoexcept

Perform the inference process on the FIS object.

Precondition: The instance should have already invoked the fuzzification operation successfully with system::fuzzify()

Returns: true on success, otherwise return false.

◆ operator<<() [1/3]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

system & qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::operator<< ( const int & value )

inline

The value to set the previously selected input.

Parameters

[in] value The crisp value to set

Returns: The fis::system object you invoked << upon.

◆ operator<<() [2/3]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

system & qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::operator<< ( const real_t & value )

inline

The value to set the previously selected input.

Parameters

[in] value The crisp value to set

Returns: The fis::system object you invoked << upon.

◆ operator<<() [3/3]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

system & qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::operator<< ( const tag & t )

inline

Select the input to set using with the specified tag.

Parameters

[in] t The input tag

Returns: The fis::system object you invoked << upon.

◆ operator[]()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

real_t qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::operator[] ( tag outTag ) const

inline

Get the de-fuzzified crisp value from the output with the specified tag.

Parameters

[in] outTag The output tag

Returns: The requested de-fuzzified crisp value.

◆ setDeFuzzMethod()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setDeFuzzMethod ( deFuzzMethod m )

inlinenoexcept

Change the default de-Fuzzification method of the FIS instance.

Parameters

[in] m The de-fuzzification method: use one of the following : centroid, bisector, mom, lom, som, wtaver, wtsum

Note: centroid, bisector, mom, lom and som only apply for a Mamdani FIS; wtaver and wtsum only apply for a Sugeno FIS.; wtaver only apply for a Tsukamoto FIS

Returns: true on success, otherwise return false

◆ setInput()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setInput	(	const tag	t,
		const real_t	value )

inlinenoexcept

Set a crisp value of the input with the specified tag.

Parameters

[in]	t	The input tag
[in]	value	The crisp value to set

Returns: true on success, otherwise return false.

◆ setParameter()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setParameter	(	const parameter	p,
		const paramValue	x )

inlinenoexcept

Set parameters of the FIS instance.

Parameters

[in]	p	The requested parameter to change/set.
[in]	x	The value of the parameter to set.

Returns: true on success, otherwise return false.

◆ setRuleWeights()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setRuleWeights ( real_t * rWeights )

inlinenoexcept

Set weights to the rules of the inference system.

Precondition: I/Os and fuzzy sets must be previously initialized by system::setupInput(), system::setupOutput(), system::setInputMF(), system::setOutputMF and system::setup() respectively.

Parameters

[in] rWeights An array with the values of every rule weight;

Returns: true on success, otherwise return false.

◆ setup()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setup ( void )

inline

Setup and initialize the FIS instance.

Returns: true on success, otherwise return false.

◆ setupInput()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupInput	(	const tag	t,
		const real_t	Min,
		const real_t	Max )

inlinenoexcept

Setup the input with the specified tag and set limits for it.

Parameters

[in]	t	The input tag
[in]	Min	Minimum allowed value for this input
[in]	Max	Max allowed value for this input

Returns: true on success, otherwise return false.

◆ setupInputMF() [1/2]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupInputMF	(	const tag	io,
		const tag	mf,
		const shapeMF	s,
		const real_t *	cp,
		const real_t	h = 1.0_re )

inlinenoexcept

Setup the input tag and points for the specified membership function.

Parameters

[in]	io	The input tag related with this membership function
[in]	mf	The user-defined tag for this membership function
[in]	s	The wanted shape/form for this membership function, can be one of the following: trimf, trapmf, gbellmf, gaussmf, gauss2mf, sigmf, dsigmf, psigmf, pimf, smf, zmf, singletonmf, concavemf, spikemf, linsmf, linzmf, rectmf, cosmf.

Note: For Sugeno FIS, an output membership function should be one of the following: constantmf, linearmf.; For Tsukamoto FIS, an output membership function should be one the following monotonic functions : tlinsmf, tlinzmf, tsmf, tzmf, tconcavemf

Parameters

[in]	cp	Points or coefficients of the membership function.
[in]	h	Height of the membership function.

Note: Height parameter h does not apply for output membership functions on Sugeno and Tsukamoto inference systems. [ 0 <= h <= 1]

Returns: true on success, otherwise return false.

◆ setupInputMF() [2/2]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupInputMF	(	const tag	io,
		const tag	mf,
		mfFunction	customMfs,
		const real_t *	cp,
		const real_t	h = 1.0_re )

inlinenoexcept

Setup the input tag and points for the specified membership function.

Parameters

[in]	io	The input tag related with this membership function
[in]	mf	The user-defined tag for this membership function
[in]	customMfs	Custom user-defined membership function.
[in]	cp	Points or coefficients of the membership function.
[in]	h	Height of the membership function.

Note: Height parameter h does not apply for output membership functions on Sugeno and Tsukamoto inference systems. [ 0 <= h <= 1]

Returns: true on success, otherwise return false.

◆ setupOutput()

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupOutput	(	const tag	t,
		const real_t	Min,
		const real_t	Max )

inlinenoexcept

Setup the output with the specified tag and set limits for it.

Parameters

[in]	t	The output tag
[in]	Min	Minimum allowed value for this output
[in]	Max	Max allowed value for this output

Returns: true on success, otherwise return false.

◆ setupOutputMF() [1/2]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupOutputMF	(	const tag	io,
		const tag	mf,
		const shapeMF	s,
		const real_t *	cp,
		const real_t	h = 1.0_re )

inlinenoexcept

Set the output tag and points for the specified membership function.

Parameters

[in]	io	The output tag related with this membership function
[in]	mf	The user-defined tag for this membership function
[in]	s	The wanted shape/form for this membership function, can be one of the following: trimf, trapmf, gbellmf, gaussmf, gauss2mf, sigmf, dsigmf, psigmf, pimf, smf, zmf, singletonmf, concavemf, spikemf, linsmf, linzmf, rectmf, cosmf.

Note: For Sugeno FIS, an output membership function should be one of the following: constantmf, linearmf.; For Tsukamoto FIS, an output membership function should be one the following monotonic functions : tlinsmf, tlinzmf, tsmf, tzmf, tconcavemf

Parameters

[in]	cp	Points or coefficients of the membership function.
[in]	h	Height of the membership function.

Note: Height parameter h does not apply for output membership functions on Sugeno and Tsukamoto inference systems. [ 0 <= h <= 1]

Returns: true on success, otherwise return false.

◆ setupOutputMF() [2/2]

template<type fType, size_t numberOfInputs, size_t numberOfOutputs, size_t numberOfInputSets, size_t numberOfOutputSets, size_t numberOfRules>

bool qlibs::fis::system< fType, numberOfInputs, numberOfOutputs, numberOfInputSets, numberOfOutputSets, numberOfRules >::setupOutputMF	(	const tag	io,
		const tag	mf,
		mfFunction	customMfs,
		const real_t *	cp,
		const real_t	h = 1.0_re )

inlinenoexcept

Set the output tag and points for the specified membership function.

Parameters

[in]	io	The output tag related with this membership function
[in]	mf	The user-defined tag for this membership function
[in]	customMfs	Custom user-defined membership function.
[in]	cp	Points or coefficients of the membership function.
[in]	h	Height of the membership function.

Note: Height parameter h does not apply for output membership functions on Sugeno and Tsukamoto inference systems. [ 0 <= h <= 1]

Returns: true on success, otherwise return false.

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ system()

Member Function Documentation

◆ deFuzzify()

◆ fuzzify()

◆ getNumberOfPoints()

◆ getOutput()

◆ inference()

◆ operator<<() [1/3]

◆ operator<<() [2/3]

◆ operator<<() [3/3]

◆ operator[]()

◆ setDeFuzzMethod()

◆ setInput()

◆ setParameter()

◆ setRuleWeights()

◆ setup()

◆ setupInput()

◆ setupInputMF() [1/2]

◆ setupInputMF() [2/2]

◆ setupOutput()

◆ setupOutputMF() [1/2]

◆ setupOutputMF() [2/2]