autopas::FuzzyLogic::FuzzyControlSystem Class Reference

Used to represent a Fuzzy Control System. More...

#include <FuzzyControlSystem.h>

Public Member Functions
	FuzzyControlSystem (std::shared_ptr< FuzzyControlSettings > settings)
	Constructs an empty FuzzyControlSystem with the given settings.
void	addRule (const FuzzyRule &rule)
	Adds a new FuzzyRule to the FuzzyControlSystem.
std::shared_ptr< FuzzySet >	applyRules (const FuzzySet::Data &data) const
	Applies all the rules of the FuzzyControlSystem with the given data and calculates the union of all the cut-consequents.
double	predict (const FuzzySet::Data &data, size_t numSamples=1000) const
	Predicts the output of the FuzzyControlSystem for the given data.
	operator std::string () const
	Returns a string representation of the FuzzyControlSystem.

Detailed Description

Used to represent a Fuzzy Control System.

A Fuzzy Control System is a collection of FuzzyRules that can be applied to a given input to predict an output.

Constructor & Destructor Documentation

FuzzyControlSystem()

autopas::FuzzyLogic::FuzzyControlSystem::FuzzyControlSystem ( std::shared_ptr< FuzzyControlSettings >  settings )

explicit

Constructs an empty FuzzyControlSystem with the given settings.

Parameters

settings

The settings of the FuzzyControlSystem.

Member Function Documentation

addRule()

void autopas::FuzzyLogic::FuzzyControlSystem::addRule

(

const FuzzyRule &

rule

)

Adds a new FuzzyRule to the FuzzyControlSystem.

Parameters

rule	The FuzzyRule to add.

Additionally, the method checks if all the consequents of the FuzzyControlSystem have the same domain. Otherwise, an exception is thrown.

applyRules()

std::shared_ptr< FuzzySet > autopas::FuzzyLogic::FuzzyControlSystem::applyRules

(

const FuzzySet::Data &

data

)

const

Applies all the rules of the FuzzyControlSystem with the given data and calculates the union of all the cut-consequents.

Parameters

data	A map of the form {dimension_name: value}.

Returns

The FuzzySet resulting from the application of the FuzzyControlSystem to the given data.

predict()

double autopas::FuzzyLogic::FuzzyControlSystem::predict	(	const FuzzySet::Data &	data,
		size_t	numSamples = 1000
	)		const

Predicts the output of the FuzzyControlSystem for the given data.

Parameters

data	A map of the form {dimension_name: value}.
numSamples	The number of samples to use for the numerical defuzzification. Default is 1000.

Returns

The predicted output of the FuzzyControlSystem for the given data.

This method performs the full prediction process of the FuzzyControlSystem. It first applies all the rules of the FuzzyControlSystem to the data and unites all the cut-consequents. The resulting FuzzySet is then defuzzified and the calculated value is returned.

The method reads the "defuzzificationMethod" and "numSamples" settings from the provided settings and performs the defuzzification accordingly.

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

• autopas/tuning/tuningStrategy/fuzzyTuning/fuzzyController/FuzzyControlSystem.h
• autopas/tuning/tuningStrategy/fuzzyTuning/fuzzyController/FuzzyControlSystem.cpp