void FllImporter::processOutputVariable(const std::string& block, Engine* engine) const {
std::istringstream reader(block);
std::string line;
OutputVariable* outputVariable = new OutputVariable;
engine->addOutputVariable(outputVariable);
while (std::getline(reader, line)) {
std::pair<std::string, std::string> keyValue = parseKeyValue(line, ':');
if ("OutputVariable" == keyValue.first) {
outputVariable->setName(keyValue.second);
} else if ("enabled" == keyValue.first) {
outputVariable->setEnabled(parseBoolean(keyValue.second));
} else if ("range" == keyValue.first) {
std::pair<scalar, scalar> range = parseRange(keyValue.second);
outputVariable->setRange(range.first, range.second);
} else if ("default" == keyValue.first) {
outputVariable->setDefaultValue(Op::toScalar(keyValue.second));
} else if ("lock-valid" == keyValue.first) {
outputVariable->setLockValidOutput(parseBoolean(keyValue.second));
} else if ("lock-range" == keyValue.first) {
outputVariable->setLockOutputRange(parseBoolean(keyValue.second));
} else if ("defuzzifier" == keyValue.first) {
outputVariable->setDefuzzifier(parseDefuzzifier(keyValue.second));
} else if ("accumulation" == keyValue.first) {
outputVariable->fuzzyOutput()->setAccumulation(parseSNorm(keyValue.second));
} else if ("term" == keyValue.first) {
outputVariable->addTerm(parseTerm(keyValue.second, engine));
} else {
throw fl::Exception("[import error] key <" + keyValue.first + "> not "
"recognized in pair <" + keyValue.first + ":" + keyValue.second + ">", FL_AT);
}
}
}
void Preferences::onChangeDivisions(int value) {
fl::Engine* engine = Model::Default()->engine();
for (int i = 0; i < engine->numberOfOutputVariables(); ++i) {
OutputVariable* outputVariable = engine->getOutputVariable(i);
outputVariable->getDefuzzifier()->setDivisions(value);
}
}
void Preferences::onChangeAccumulation(int) {
std::string accumulation = ui->cbx_accumulation->currentText().toStdString();
fl::Engine* engine = Model::Default()->engine();
for (int i = 0; i < engine->numberOfOutputVariables(); ++i) {
OutputVariable* outputVariable = engine->getOutputVariable(i);
outputVariable->output()->setAccumulation(
Factory::instance()->snorm()->create(accumulation));
}
}
void Preferences::onChangeDefuzzifier(int) {
std::string defuzzifier = ui->cbx_defuzzifier->currentText().toStdString();
fl::Engine* engine = Model::Default()->engine();
for (int i = 0; i < engine->numberOfOutputVariables(); ++i) {
OutputVariable* outputVariable = engine->getOutputVariable(i);
outputVariable->setDefuzzifier(
Factory::instance()->defuzzifier()->create(defuzzifier));
}
}
int main(int argc, char** argv){
//C++ code generated with fuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("sltbu_fl");
InputVariable* distance = new InputVariable;
distance->setEnabled(true);
distance->setName("distance");
distance->setRange(0.000, 25.000);
distance->setLockValueInRange(false);
distance->addTerm(new ZShape("near", 1.000, 2.000));
distance->addTerm(new SShape("far", 1.000, 2.000));
engine->addInputVariable(distance);
InputVariable* control1 = new InputVariable;
control1->setEnabled(true);
control1->setName("control1");
control1->setRange(-0.785, 0.785);
control1->setLockValueInRange(false);
engine->addInputVariable(control1);
InputVariable* control2 = new InputVariable;
control2->setEnabled(true);
control2->setName("control2");
control2->setRange(-0.785, 0.785);
control2->setLockValueInRange(false);
engine->addInputVariable(control2);
OutputVariable* control = new OutputVariable;
control->setEnabled(true);
control->setName("control");
control->setRange(-0.785, 0.785);
control->setLockValueInRange(false);
control->fuzzyOutput()->setAggregation(fl::null);
control->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
control->setDefaultValue(fl::nan);
control->setLockPreviousValue(false);
control->addTerm(Linear::create("out1mf1", engine, 0.000, 0.000, 1.000, 0.000));
control->addTerm(Linear::create("out1mf2", engine, 0.000, 1.000, 0.000, 0.000));
engine->addOutputVariable(control);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if distance is near then control is out1mf1", engine));
ruleBlock->addRule(Rule::parse("if distance is far then control is out1mf2", engine));
engine->addRuleBlock(ruleBlock);
}
void Variable::reloadModel() {
if (ui->btn_sort_centroid->isChecked()) {
variable->sort();
}
ui->lvw_terms->clear();
for (int i = 0; i < variable->numberOfTerms(); ++i) {
fl::Term* term = variable->getTerm(i);
std::string text = term->getName() + " " + term->className()
+ " " + term->parameters();
QListWidgetItem* item = new QListWidgetItem;
item->setText(QString::fromStdString(text));
item->setToolTip(QString::fromStdString(text));
ui->lvw_terms->addItem(item);
}
OutputVariable* outputVariable = dynamic_cast<OutputVariable*> (variable);
if (outputVariable) {
ui->led_default->setText(QString::number(outputVariable->getDefaultValue()));
ui->chx_lock_range->setChecked(outputVariable->isLockingOutputRange());
ui->chx_lock_valid->setChecked(outputVariable->isLockingValidOutput());
if (outputVariable->fuzzyOutput()->getAccumulation()) {
ui->cbx_accumulation->setCurrentIndex(
ui->cbx_accumulation->findText(
QString::fromStdString(
outputVariable->fuzzyOutput()->getAccumulation()->className())));
} else {
ui->cbx_accumulation->setCurrentIndex(-1);
}
if (outputVariable->getDefuzzifier()) {
ui->cbx_defuzzifier->setCurrentIndex(
ui->cbx_defuzzifier->findText(
QString::fromStdString(
outputVariable->getDefuzzifier()->className())));
IntegralDefuzzifier* integralDefuzzifier =
dynamic_cast<IntegralDefuzzifier*> (outputVariable->getDefuzzifier());
if (integralDefuzzifier) {
ui->sbx_accuracy->setValue(integralDefuzzifier->getResolution());
}
} else {
ui->cbx_defuzzifier->setCurrentIndex(-1);
}
}
scalar minimum = variable->getMinimum();
scalar maximum = variable->getMaximum();
ui->sbx_min->setValue(minimum);
ui->sbx_max->setValue(maximum);
ui->btn_term_down->setEnabled(not ui->btn_sort_centroid->isChecked()
and ui->lvw_terms->selectedItems().size() > 0);
ui->btn_term_up->setEnabled(not ui->btn_sort_centroid->isChecked()
and ui->lvw_terms->selectedItems().size() > 0);
redraw();
}
scalar Function::membership(scalar x) const {
if (not this->_root.get()) {
throw fl::Exception("[function error] function <" + _formula + "> not loaded.", FL_AT);
}
if (this->_engine) {
for (int i = 0; i < this->_engine->numberOfInputVariables(); ++i) {
InputVariable* input = this->_engine->getInputVariable(i);
this->variables[input->getName()] = input->getInputValue();
}
for (int i = 0; i < this->_engine->numberOfOutputVariables(); ++i) {
OutputVariable* output = this->_engine->getOutputVariable(i);
this->variables[output->getName()] = output->getOutputValue();
}
}
this->variables["x"] = x;
return this->evaluate(&this->variables);
}
void Variable::edit(const OutputVariable* outputVariable) {
variable->setMinimum(outputVariable->getMinimum());
variable->setMaximum(outputVariable->getMaximum());
for (int i = 0; i < outputVariable->numberOfTerms(); ++i) {
this->variable->addTerm(outputVariable->getTerm(i)->copy());
}
scalar singleStep = (variable->getMaximum() - variable->getMinimum()) / 100;
ui->sbx_min->setSingleStep(std::max(scalar(0.01), singleStep));
ui->sbx_max->setSingleStep(std::max(scalar(0.01), singleStep));
setWindowTitle("Edit variable");
ui->led_name->setText(QString::fromStdString(outputVariable->getName()));
ui->cbx_enabled->setChecked(outputVariable->isEnabled());
OutputVariable* editable = dynamic_cast<OutputVariable*> (this->variable);
editable->setDefaultValue(outputVariable->getDefaultValue());
editable->setLastValidOutput(fl::nan);
editable->setLockValidOutput(outputVariable->isLockingValidOutput());
editable->setLockOutputRange(outputVariable->isLockingOutputRange());
editable->fuzzyOutput()->setAccumulation(outputVariable->fuzzyOutput()->getAccumulation());
Defuzzifier* defuzzifier = outputVariable->getDefuzzifier();
// if (not defuzzifier) {
// defuzzifier = Factory::instance()->defuzzifier()->
// create(Centroid().className(), fl::fuzzylite::defaultDivisions());
// }
editable->setDefuzzifier(defuzzifier);
reloadModel();
}
void Consequent::modify(scalar activationDegree, const TNorm* implication) {
if (not isLoaded()) {
throw fl::Exception("[consequent error] consequent <" + getText() + "> is not loaded", FL_AT);
}
for (std::size_t i = 0; i < _conclusions.size(); ++i) {
Proposition* proposition = _conclusions.at(i);
if (proposition->variable->isEnabled()) {
if (not proposition->hedges.empty()) {
for (std::vector<Hedge*>::const_reverse_iterator rit = proposition->hedges.rbegin();
rit != proposition->hedges.rend(); ++rit) {
activationDegree = (*rit)->hedge(activationDegree);
}
}
OutputVariable * outputVariable = static_cast<OutputVariable*> (proposition->variable);
Activated term(proposition->term, activationDegree, implication);
outputVariable->fuzzyOutput()->addTerm(term);
FL_DBG("Aggregating " << term.toString());
}
}
}
void Preferences::applyDefaults() {
fl::Engine* engine = Model::Default()->engine();
if (engine->numberOfRuleBlocks() == 0) {
QMessageBox::critical(this, "Error",
"Current engine has no rule blocks. "
"At least one ruleblock was expected.",
QMessageBox::Ok);
return;
}
std::string tnorm = Minimum().className();
std::string snorm = Maximum().className();
std::string activation = Minimum().className();
RuleBlock* ruleblock = engine->getRuleBlock(0);
if (ruleblock->getTnorm()) tnorm = ruleblock->getTnorm()->className();
if (ruleblock->getSnorm()) snorm = ruleblock->getSnorm()->className();
if (ruleblock->getActivation()) activation = ruleblock->getActivation()->className();
std::string defuzzifier = Centroid().className();
int divisions = fl::fuzzylite::defaultDivisions();
std::string accumulation = Maximum().className();
if (engine->numberOfOutputVariables() > 0) {
OutputVariable* variable = engine->getOutputVariable(0);
if (variable->getDefuzzifier()) {
defuzzifier = variable->getDefuzzifier()->className();
divisions = variable->getDefuzzifier()->getDivisions();
}
if (variable->output()->getAccumulation())
accumulation = variable->output()->getAccumulation()->className();
}
engine->configure(tnorm, snorm, activation, accumulation, defuzzifier, divisions);
}
void Preferences::loadFromModel() {
disconnect();
fl::Engine* engine = Model::Default()->engine();
if (engine->numberOfRuleBlocks() == 0) {
QMessageBox::critical(this, "Error",
"Current engine has no rule blocks. "
"At least one ruleblock was expected.",
QMessageBox::Ok);
return;
}
RuleBlock* ruleblock = engine->getRuleBlock(0);
ui->cbx_tnorm->setCurrentIndex(indexOfTnorm(ruleblock->getTnorm()->className()));
ui->cbx_snorm->setCurrentIndex(indexOfSnorm(ruleblock->getSnorm()->className()));
ui->cbx_activation->setCurrentIndex(indexOfTnorm(ruleblock->getActivation()->className()));
if (engine->numberOfOutputVariables() > 0) {
OutputVariable* variable = engine->getOutputVariable(0);
ui->cbx_defuzzifier->setCurrentIndex(
indexOfDefuzzifier(variable->getDefuzzifier()->className()));
ui->sbx_divisions->setValue(variable->getDefuzzifier()->getDivisions());
ui->cbx_accumulation->setCurrentIndex(
indexOfSnorm(variable->output()->getAccumulation()->className()));
} else {
ui->cbx_defuzzifier->setCurrentIndex(0);
ui->sbx_divisions->setValue(fl::fuzzylite::defaultDivisions());
ui->cbx_accumulation->setCurrentIndex(0);
}
ui->ckx_any->setChecked(engine->hasHedge(Any().name()));
ui->ckx_extremely->setChecked(engine->hasHedge(Extremely().name()));
ui->ckx_not->setChecked(engine->hasHedge(Not().name()));
ui->ckx_seldom->setChecked(engine->hasHedge(Seldom().name()));
ui->ckx_somewhat->setChecked(engine->hasHedge(Somewhat().name()));
ui->ckx_very->setChecked(engine->hasHedge(Very().name()));
connect();
}
boost::optional<IdfObject> ForwardTranslator::translateOutputVariable( OutputVariable & modelObject )
{
IdfObject idfObject( openstudio::IddObjectType::Output_Variable);
m_idfObjects.push_back(idfObject);
if (!modelObject.isKeyValueDefaulted()){
idfObject.setString(Output_VariableFields::KeyValue, modelObject.keyValue());
}
idfObject.setString(Output_VariableFields::VariableName, modelObject.variableName());
if (!modelObject.isReportingFrequencyDefaulted()){
idfObject.setString(Output_VariableFields::ReportingFrequency, modelObject.reportingFrequency());
}
if (modelObject.schedule()){
idfObject.setString(Output_VariableFields::ScheduleName, modelObject.schedule()->name().get());
}
return idfObject;
}
void Variable::accept() {
OutputVariable* outputVariable = dynamic_cast<OutputVariable*> (variable);
if (outputVariable) {
try {
outputVariable->setDefaultValue(
fl::Op::toScalar(ui->led_default->text().toStdString()));
} catch (fl::Exception& ex) {
std::ostringstream message;
message << ex.what() << std::endl <<
"Expected numeric values (including nan or inf)" << std::endl;
QMessageBox::critical(this, tr("Error"),
fl::qt::Window::toHtmlEscaped(
QString::fromStdString(message.str())),
QMessageBox::Ok);
return;
}
outputVariable->setLockValidOutput(ui->chx_lock_valid->isChecked());
outputVariable->setLockOutputRange(ui->chx_lock_range->isChecked());
SNorm* accumulation = FactoryManager::instance()->snorm()->createInstance(
ui->cbx_accumulation->currentText().toStdString());
outputVariable->fuzzyOutput()->setAccumulation(accumulation);
Defuzzifier* defuzzifier = NULL;
if (ui->cbx_defuzzifier->currentIndex() >= 0) {
defuzzifier = FactoryManager::instance()->defuzzifier()->createInstance(
ui->cbx_defuzzifier->currentText().toStdString());
IntegralDefuzzifier* integralDefuzzifier =
dynamic_cast<IntegralDefuzzifier*> (defuzzifier);
if (integralDefuzzifier) {
integralDefuzzifier->setResolution(ui->sbx_accuracy->value());
}
}
outputVariable->setDefuzzifier(defuzzifier);
}
variable->setName(fl::Op::makeValidId(ui->led_name->text().toStdString()));
variable->setEnabled(ui->cbx_enabled->isChecked());
QDialog::accept();
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("qtfuzzylite");
InputVariable* inputVariable = new InputVariable;
inputVariable->setEnabled(true);
inputVariable->setName("AllInputTerms");
inputVariable->setRange(0.000, 6.500);
inputVariable->setLockValueInRange(false);
inputVariable->addTerm(new Sigmoid("A", 0.500, -20.000));
inputVariable->addTerm(new ZShape("B", 0.000, 1.000));
inputVariable->addTerm(new Ramp("C", 1.000, 0.000));
inputVariable->addTerm(new Triangle("D", 0.500, 1.000, 1.500));
inputVariable->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
inputVariable->addTerm(new Concave("F", 0.850, 0.250));
inputVariable->addTerm(new Rectangle("G", 1.750, 2.250));
inputVariable->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
inputVariable->addTerm(new Gaussian("I", 3.000, 0.200));
inputVariable->addTerm(new Cosine("J", 3.250, 0.650));
inputVariable->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
inputVariable->addTerm(new Spike("L", 3.640, 1.040));
inputVariable->addTerm(new Bell("M", 4.000, 0.250, 3.000));
inputVariable->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
inputVariable->addTerm(new Concave("O", 5.650, 6.250));
inputVariable->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
inputVariable->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
inputVariable->addTerm(new Ramp("R", 5.500, 6.500));
inputVariable->addTerm(new SShape("S", 5.500, 6.500));
inputVariable->addTerm(new Sigmoid("T", 6.000, 20.000));
engine->addInputVariable(inputVariable);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("AllOutputTerms");
outputVariable->setRange(0.000, 6.500);
outputVariable->setLockValueInRange(false);
outputVariable->fuzzyOutput()->setAccumulation(new Maximum);
outputVariable->setDefuzzifier(new Centroid(200));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousValue(false);
outputVariable->addTerm(new Sigmoid("A", 0.500, -20.000));
outputVariable->addTerm(new ZShape("B", 0.000, 1.000));
outputVariable->addTerm(new Ramp("C", 1.000, 0.000));
outputVariable->addTerm(new Triangle("D", 0.500, 1.000, 1.500));
outputVariable->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
outputVariable->addTerm(new Concave("F", 0.850, 0.250));
outputVariable->addTerm(new Rectangle("G", 1.750, 2.250));
outputVariable->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
outputVariable->addTerm(new Gaussian("I", 3.000, 0.200));
outputVariable->addTerm(new Cosine("J", 3.250, 0.650));
outputVariable->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
outputVariable->addTerm(new Spike("L", 3.640, 1.040));
outputVariable->addTerm(new Bell("M", 4.000, 0.250, 3.000));
outputVariable->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
outputVariable->addTerm(new Concave("O", 5.650, 6.250));
outputVariable->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
outputVariable->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
outputVariable->addTerm(new Ramp("R", 5.500, 6.500));
outputVariable->addTerm(new SShape("S", 5.500, 6.500));
outputVariable->addTerm(new Sigmoid("T", 6.000, 20.000));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is A then AllOutputTerms is T", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is B then AllOutputTerms is S", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is C then AllOutputTerms is R", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is D then AllOutputTerms is Q", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is E then AllOutputTerms is P", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is F then AllOutputTerms is O", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is G then AllOutputTerms is N", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is H then AllOutputTerms is M", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is I then AllOutputTerms is L", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is J then AllOutputTerms is K", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is K then AllOutputTerms is J", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is L then AllOutputTerms is I", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is M then AllOutputTerms is H", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is N then AllOutputTerms is G", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is O then AllOutputTerms is F", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is P then AllOutputTerms is E", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is Q then AllOutputTerms is D", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is R then AllOutputTerms is C", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is S then AllOutputTerms is B", engine));
ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is T then AllOutputTerms is A", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv) {
using namespace fl;
Engine* engine = new Engine;
engine->setName("Cubic-Approximator");
InputVariable* inputVariable = new InputVariable;
inputVariable->setEnabled(true);
inputVariable->setName("X");
inputVariable->setRange(-5.000, 5.000);
inputVariable->addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000));
inputVariable->addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000));
inputVariable->addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000));
inputVariable->addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000));
inputVariable->addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000));
inputVariable->addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000));
inputVariable->addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000));
inputVariable->addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000));
inputVariable->addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000));
inputVariable->addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000));
inputVariable->addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000));
engine->addInputVariable(inputVariable);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("ApproxXCubed");
outputVariable->setRange(-5.000, 5.000);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousOutputValue(false);
outputVariable->setLockOutputValueInRange(false);
outputVariable->addTerm(Linear::create("TangentatNegFive", engine, 75.000, 250.000));
outputVariable->addTerm(Linear::create("TangentatNegFour", engine, 48.000, 128.000));
outputVariable->addTerm(Linear::create("TangentatNegThree", engine, 27.000, 54.000));
outputVariable->addTerm(Linear::create("TangentatNegTwo", engine, 12.000, 16.000));
outputVariable->addTerm(Linear::create("TangentatNegOne", engine, 3.000, 2.000));
outputVariable->addTerm(Linear::create("TangentatZero", engine, 0.000, 0.000));
outputVariable->addTerm(Linear::create("TangentatOne", engine, 3.000, -2.000));
outputVariable->addTerm(Linear::create("TangentatTwo", engine, 12.000, -16.000));
outputVariable->addTerm(Linear::create("TangentatThree", engine, 27.000, -54.000));
outputVariable->addTerm(Linear::create("TangentatFour", engine, 48.000, -128.000));
outputVariable->addTerm(Linear::create("TangentatFive", engine, 75.000, -250.000));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setActivation(fl::null);
ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutNegOne then ApproxXCubed is TangentatNegOne", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutZero then ApproxXCubed is TangentatZero", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutOne then ApproxXCubed is TangentatOne", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutTwo then ApproxXCubed is TangentatTwo", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutThree then ApproxXCubed is TangentatThree", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutFour then ApproxXCubed is TangentatFour", engine));
ruleBlock->addRule(fl::Rule::parse("if X is AboutFive then ApproxXCubed is TangentatFive", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("simple-dimmer");
InputVariable* inputVariable = new InputVariable;
inputVariable->setEnabled(true);
inputVariable->setName("Ambient");
inputVariable->setRange(0.000, 1.000);
inputVariable->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
inputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
inputVariable->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
engine->addInputVariable(inputVariable);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("Power");
outputVariable->setRange(0.000, 1.000);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousOutputValue(false);
outputVariable->setLockOutputValueInRange(false);
outputVariable->addTerm(new Constant("LOW", 0.250));
outputVariable->addTerm(new Constant("MEDIUM", 0.500));
outputVariable->addTerm(new Constant("HIGH", 0.750));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setActivation(fl::null);
ruleBlock->addRule(fl::Rule::parse("if Ambient is DARK then Power is HIGH", engine));
ruleBlock->addRule(fl::Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
ruleBlock->addRule(fl::Rule::parse("if Ambient is BRIGHT then Power is LOW", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
//Code automatically generated with jfuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("tipper");
engine->setDescription("");
InputVariable* service = new InputVariable;
service->setName("service");
service->setDescription("");
service->setEnabled(true);
service->setRange(0.000, 10.000);
service->setLockValueInRange(false);
service->addTerm(new Gaussian("poor", 0.000, 1.500));
service->addTerm(new Gaussian("good", 5.000, 1.500));
service->addTerm(new Gaussian("excellent", 10.000, 1.500));
engine->addInputVariable(service);
InputVariable* food = new InputVariable;
food->setName("food");
food->setDescription("");
food->setEnabled(true);
food->setRange(0.000, 10.000);
food->setLockValueInRange(false);
food->addTerm(new Trapezoid("rancid", 0.000, 0.000, 1.000, 3.000));
food->addTerm(new Trapezoid("delicious", 7.000, 9.000, 10.000, 10.000));
engine->addInputVariable(food);
OutputVariable* tip = new OutputVariable;
tip->setName("tip");
tip->setDescription("");
tip->setEnabled(true);
tip->setRange(0.000, 30.000);
tip->setLockValueInRange(false);
tip->setAggregation(new Maximum);
tip->setDefuzzifier(new Centroid(200));
tip->setDefaultValue(fl::nan);
tip->setLockPreviousValue(false);
tip->addTerm(new Triangle("cheap", 0.000, 5.000, 10.000));
tip->addTerm(new Triangle("average", 10.000, 15.000, 20.000));
tip->addTerm(new Triangle("generous", 20.000, 25.000, 30.000));
engine->addOutputVariable(tip);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setName("");
ruleBlock->setDescription("");
ruleBlock->setEnabled(true);
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if service is poor or food is rancid then tip is cheap", engine));
ruleBlock->addRule(Rule::parse("if service is good then tip is average", engine));
ruleBlock->addRule(Rule::parse("if service is excellent or food is delicious then tip is generous", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("slcp1");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("in1");
inputVariable1->setRange(-0.300, 0.300);
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("in2");
inputVariable2->setRange(-1.000, 1.000);
engine->addInputVariable(inputVariable2);
InputVariable* inputVariable3 = new InputVariable;
inputVariable3->setEnabled(true);
inputVariable3->setName("in3");
inputVariable3->setRange(-3.000, 3.000);
engine->addInputVariable(inputVariable3);
InputVariable* inputVariable4 = new InputVariable;
inputVariable4->setEnabled(true);
inputVariable4->setName("in4");
inputVariable4->setRange(-3.000, 3.000);
engine->addInputVariable(inputVariable4);
InputVariable* inputVariable5 = new InputVariable;
inputVariable5->setEnabled(true);
inputVariable5->setName("in5");
inputVariable5->setRange(0.500, 1.500);
inputVariable5->addTerm(new Gaussian("small", 0.500, 0.200));
inputVariable5->addTerm(new Gaussian("medium", 1.000, 0.200));
inputVariable5->addTerm(new Gaussian("large", 1.500, 0.200));
engine->addInputVariable(inputVariable5);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("out");
outputVariable->setRange(-10.000, 10.000);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousOutputValue(false);
outputVariable->setLockOutputValueInRange(false);
outputVariable->addTerm(Linear::create("outmf1", engine, 32.166, 5.835, 3.162, 3.757, 0.000, 0.000));
outputVariable->addTerm(Linear::create("outmf2", engine, 39.012, 9.947, 3.162, 4.269, 0.000, 0.000));
outputVariable->addTerm(Linear::create("outmf3", engine, 45.009, 13.985, 3.162, 4.666, 0.000, 0.000));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setActivation(fl::null);
ruleBlock->addRule(fl::Rule::parse("if in5 is small then out is outmf1", engine));
ruleBlock->addRule(fl::Rule::parse("if in5 is medium then out is outmf2", engine));
ruleBlock->addRule(fl::Rule::parse("if in5 is large then out is outmf3", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv) {
using namespace fl;
Engine* engine = new Engine;
engine->setName("mam21");
InputVariable* angle = new InputVariable;
angle->setEnabled(true);
angle->setName("angle");
angle->setRange(-5.000, 5.000);
angle->setLockValueInRange(false);
angle->addTerm(new Bell("small", -5.000, 5.000, 8.000));
angle->addTerm(new Bell("big", 5.000, 5.000, 8.000));
engine->addInputVariable(angle);
InputVariable* velocity = new InputVariable;
velocity->setEnabled(true);
velocity->setName("velocity");
velocity->setRange(-5.000, 5.000);
velocity->setLockValueInRange(false);
velocity->addTerm(new Bell("small", -5.000, 5.000, 2.000));
velocity->addTerm(new Bell("big", 5.000, 5.000, 2.000));
engine->addInputVariable(velocity);
OutputVariable* force = new OutputVariable;
force->setEnabled(true);
force->setName("force");
force->setRange(-5.000, 5.000);
force->setLockValueInRange(false);
force->fuzzyOutput()->setAggregation(new Maximum);
force->setDefuzzifier(new Centroid(200));
force->setDefaultValue(fl::nan);
force->setLockPreviousValue(false);
force->addTerm(new Bell("negBig", -5.000, 1.670, 8.000));
force->addTerm(new Bell("negSmall", -1.670, 1.670, 8.000));
force->addTerm(new Bell("posSmall", 1.670, 1.670, 8.000));
force->addTerm(new Bell("posBig", 5.000, 1.670, 8.000));
engine->addOutputVariable(force);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->setActivation(new General);
ruleBlock->addRule(fl::Rule::parse("if angle is small and velocity is small then force is negBig", engine));
ruleBlock->addRule(fl::Rule::parse("if angle is small and velocity is big then force is negSmall", engine));
ruleBlock->addRule(fl::Rule::parse("if angle is big and velocity is small then force is posSmall", engine));
ruleBlock->addRule(fl::Rule::parse("if angle is big and velocity is big then force is posBig", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
//Code automatically generated with jfuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("shower");
engine->setDescription("");
InputVariable* temp = new InputVariable;
temp->setName("temp");
temp->setDescription("");
temp->setEnabled(true);
temp->setRange(-20.000, 20.000);
temp->setLockValueInRange(false);
temp->addTerm(new Trapezoid("cold", -30.000, -30.000, -15.000, 0.000));
temp->addTerm(new Triangle("good", -10.000, 0.000, 10.000));
temp->addTerm(new Trapezoid("hot", 0.000, 15.000, 30.000, 30.000));
engine->addInputVariable(temp);
InputVariable* flow = new InputVariable;
flow->setName("flow");
flow->setDescription("");
flow->setEnabled(true);
flow->setRange(-1.000, 1.000);
flow->setLockValueInRange(false);
flow->addTerm(new Trapezoid("soft", -3.000, -3.000, -0.800, 0.000));
flow->addTerm(new Triangle("good", -0.400, 0.000, 0.400));
flow->addTerm(new Trapezoid("hard", 0.000, 0.800, 3.000, 3.000));
engine->addInputVariable(flow);
OutputVariable* cold = new OutputVariable;
cold->setName("cold");
cold->setDescription("");
cold->setEnabled(true);
cold->setRange(-1.000, 1.000);
cold->setLockValueInRange(false);
cold->setAggregation(new Maximum);
cold->setDefuzzifier(new Centroid(200));
cold->setDefaultValue(fl::nan);
cold->setLockPreviousValue(false);
cold->addTerm(new Triangle("closeFast", -1.000, -0.600, -0.300));
cold->addTerm(new Triangle("closeSlow", -0.600, -0.300, 0.000));
cold->addTerm(new Triangle("steady", -0.300, 0.000, 0.300));
cold->addTerm(new Triangle("openSlow", 0.000, 0.300, 0.600));
cold->addTerm(new Triangle("openFast", 0.300, 0.600, 1.000));
engine->addOutputVariable(cold);
OutputVariable* hot = new OutputVariable;
hot->setName("hot");
hot->setDescription("");
hot->setEnabled(true);
hot->setRange(-1.000, 1.000);
hot->setLockValueInRange(false);
hot->setAggregation(new Maximum);
hot->setDefuzzifier(new Centroid(200));
hot->setDefaultValue(fl::nan);
hot->setLockPreviousValue(false);
hot->addTerm(new Triangle("closeFast", -1.000, -0.600, -0.300));
hot->addTerm(new Triangle("closeSlow", -0.600, -0.300, 0.000));
hot->addTerm(new Triangle("steady", -0.300, 0.000, 0.300));
hot->addTerm(new Triangle("openSlow", 0.000, 0.300, 0.600));
hot->addTerm(new Triangle("openFast", 0.300, 0.600, 1.000));
engine->addOutputVariable(hot);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setName("");
ruleBlock->setDescription("");
ruleBlock->setEnabled(true);
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if temp is cold and flow is soft then cold is openSlow and hot is openFast", engine));
ruleBlock->addRule(Rule::parse("if temp is cold and flow is good then cold is closeSlow and hot is openSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is cold and flow is hard then cold is closeFast and hot is closeSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is good and flow is soft then cold is openSlow and hot is openSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is good and flow is good then cold is steady and hot is steady", engine));
ruleBlock->addRule(Rule::parse("if temp is good and flow is hard then cold is closeSlow and hot is closeSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is hot and flow is soft then cold is openFast and hot is openSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is hot and flow is good then cold is openSlow and hot is closeSlow", engine));
ruleBlock->addRule(Rule::parse("if temp is hot and flow is hard then cold is closeSlow and hot is closeFast", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
//C++ code generated with fuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("slcpp1");
InputVariable* in1 = new InputVariable;
in1->setEnabled(true);
in1->setName("in1");
in1->setRange(-0.300, 0.300);
in1->setLockValueInRange(false);
engine->addInputVariable(in1);
InputVariable* in2 = new InputVariable;
in2->setEnabled(true);
in2->setName("in2");
in2->setRange(-1.000, 1.000);
in2->setLockValueInRange(false);
engine->addInputVariable(in2);
InputVariable* in3 = new InputVariable;
in3->setEnabled(true);
in3->setName("in3");
in3->setRange(-3.000, 3.000);
in3->setLockValueInRange(false);
engine->addInputVariable(in3);
InputVariable* in4 = new InputVariable;
in4->setEnabled(true);
in4->setName("in4");
in4->setRange(-3.000, 3.000);
in4->setLockValueInRange(false);
engine->addInputVariable(in4);
InputVariable* in5 = new InputVariable;
in5->setEnabled(true);
in5->setName("in5");
in5->setRange(-3.000, 3.000);
in5->setLockValueInRange(false);
engine->addInputVariable(in5);
InputVariable* in6 = new InputVariable;
in6->setEnabled(true);
in6->setName("in6");
in6->setRange(-3.000, 3.000);
in6->setLockValueInRange(false);
engine->addInputVariable(in6);
InputVariable* pole_length = new InputVariable;
pole_length->setEnabled(true);
pole_length->setName("pole_length");
pole_length->setRange(0.500, 1.500);
pole_length->setLockValueInRange(false);
pole_length->addTerm(new ZShape("mf1", 0.500, 0.600));
pole_length->addTerm(new PiShape("mf2", 0.500, 0.600, 0.600, 0.700));
pole_length->addTerm(new PiShape("mf3", 0.600, 0.700, 0.700, 0.800));
pole_length->addTerm(new PiShape("mf4", 0.700, 0.800, 0.800, 0.900));
pole_length->addTerm(new PiShape("mf5", 0.800, 0.900, 0.900, 1.000));
pole_length->addTerm(new PiShape("mf6", 0.900, 1.000, 1.000, 1.100));
pole_length->addTerm(new PiShape("mf7", 1.000, 1.100, 1.100, 1.200));
pole_length->addTerm(new PiShape("mf8", 1.100, 1.200, 1.200, 1.300));
pole_length->addTerm(new PiShape("mf9", 1.200, 1.300, 1.300, 1.400));
pole_length->addTerm(new PiShape("mf10", 1.300, 1.400, 1.400, 1.500));
pole_length->addTerm(new SShape("mf11", 1.400, 1.500));
engine->addInputVariable(pole_length);
OutputVariable* out = new OutputVariable;
out->setEnabled(true);
out->setName("out");
out->setRange(-10.000, 10.000);
out->setLockValueInRange(false);
out->fuzzyOutput()->setAggregation(fl::null);
out->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
out->setDefaultValue(fl::nan);
out->setLockPreviousValue(false);
out->addTerm(Linear::create("outmf1", engine, 168.400, 31.000, -188.050, -49.250, -1.000, -2.700, 0.000, 0.000));
out->addTerm(Linear::create("outmf2", engine, 233.950, 47.190, -254.520, -66.580, -1.000, -2.740, 0.000, 0.000));
out->addTerm(Linear::create("outmf3", engine, 342.940, 74.730, -364.370, -95.230, -1.000, -2.780, 0.000, 0.000));
out->addTerm(Linear::create("outmf4", engine, 560.710, 130.670, -582.960, -152.240, -1.000, -2.810, 0.000, 0.000));
out->addTerm(Linear::create("outmf5", engine, 1213.880, 300.190, -1236.900, -322.800, -1.000, -2.840, 0.000, 0.000));
out->addTerm(Linear::create("outmf6", engine, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000));
out->addTerm(Linear::create("outmf7", engine, -1399.120, -382.950, 1374.630, 358.340, -1.000, -2.900, 0.000, 0.000));
out->addTerm(Linear::create("outmf8", engine, -746.070, -213.420, 720.900, 187.840, -1.000, -2.930, 0.000, 0.000));
out->addTerm(Linear::create("outmf9", engine, -528.520, -157.460, 502.680, 130.920, -1.000, -2.960, 0.000, 0.000));
out->addTerm(Linear::create("outmf10", engine, -419.870, -129.890, 393.380, 102.410, -1.000, -2.980, 0.000, 0.000));
out->addTerm(Linear::create("outmf11", engine, -354.770, -113.680, 327.650, 85.270, -1.000, -3.010, 0.000, 0.000));
engine->addOutputVariable(out);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if pole_length is mf1 then out is outmf1", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf2 then out is outmf2", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf3 then out is outmf3", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf4 then out is outmf4", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf5 then out is outmf5", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf6 then out is outmf6", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf7 then out is outmf7", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf8 then out is outmf8", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf9 then out is outmf9", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf10 then out is outmf10", engine));
ruleBlock->addRule(Rule::parse("if pole_length is mf11 then out is outmf11", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
//Code automatically generated with jfuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("tsukamoto");
engine->setDescription("");
InputVariable* X = new InputVariable;
X->setName("X");
X->setDescription("");
X->setEnabled(true);
X->setRange(-10.000, 10.000);
X->setLockValueInRange(false);
X->addTerm(new Bell("small", -10.000, 5.000, 3.000));
X->addTerm(new Bell("medium", 0.000, 5.000, 3.000));
X->addTerm(new Bell("large", 10.000, 5.000, 3.000));
engine->addInputVariable(X);
OutputVariable* Ramps = new OutputVariable;
Ramps->setName("Ramps");
Ramps->setDescription("");
Ramps->setEnabled(true);
Ramps->setRange(0.000, 1.000);
Ramps->setLockValueInRange(false);
Ramps->setAggregation(fl::null);
Ramps->setDefuzzifier(new WeightedAverage("Automatic"));
Ramps->setDefaultValue(fl::nan);
Ramps->setLockPreviousValue(false);
Ramps->addTerm(new Ramp("b", 0.600, 0.400));
Ramps->addTerm(new Ramp("a", 0.000, 0.250));
Ramps->addTerm(new Ramp("c", 0.700, 1.000));
engine->addOutputVariable(Ramps);
OutputVariable* Sigmoids = new OutputVariable;
Sigmoids->setName("Sigmoids");
Sigmoids->setDescription("");
Sigmoids->setEnabled(true);
Sigmoids->setRange(0.020, 1.000);
Sigmoids->setLockValueInRange(false);
Sigmoids->setAggregation(fl::null);
Sigmoids->setDefuzzifier(new WeightedAverage("Automatic"));
Sigmoids->setDefaultValue(fl::nan);
Sigmoids->setLockPreviousValue(false);
Sigmoids->addTerm(new Sigmoid("b", 0.500, -30.000));
Sigmoids->addTerm(new Sigmoid("a", 0.130, 30.000));
Sigmoids->addTerm(new Sigmoid("c", 0.830, 30.000));
engine->addOutputVariable(Sigmoids);
OutputVariable* ZSShapes = new OutputVariable;
ZSShapes->setName("ZSShapes");
ZSShapes->setDescription("");
ZSShapes->setEnabled(true);
ZSShapes->setRange(0.000, 1.000);
ZSShapes->setLockValueInRange(false);
ZSShapes->setAggregation(fl::null);
ZSShapes->setDefuzzifier(new WeightedAverage("Automatic"));
ZSShapes->setDefaultValue(fl::nan);
ZSShapes->setLockPreviousValue(false);
ZSShapes->addTerm(new ZShape("b", 0.300, 0.600));
ZSShapes->addTerm(new SShape("a", 0.000, 0.250));
ZSShapes->addTerm(new SShape("c", 0.700, 1.000));
engine->addOutputVariable(ZSShapes);
OutputVariable* Concaves = new OutputVariable;
Concaves->setName("Concaves");
Concaves->setDescription("");
Concaves->setEnabled(true);
Concaves->setRange(0.000, 1.000);
Concaves->setLockValueInRange(false);
Concaves->setAggregation(fl::null);
Concaves->setDefuzzifier(new WeightedAverage("Automatic"));
Concaves->setDefaultValue(fl::nan);
Concaves->setLockPreviousValue(false);
Concaves->addTerm(new Concave("b", 0.500, 0.400));
Concaves->addTerm(new Concave("a", 0.240, 0.250));
Concaves->addTerm(new Concave("c", 0.900, 1.000));
engine->addOutputVariable(Concaves);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setName("");
ruleBlock->setDescription("");
ruleBlock->setEnabled(true);
ruleBlock->setConjunction(fl::null);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine));
ruleBlock->addRule(Rule::parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine));
ruleBlock->addRule(Rule::parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("anfis");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("in_n1");
inputVariable1->setRange(1.000, 31.000);
inputVariable1->setLockValueInRange(false);
inputVariable1->addTerm(new Bell("in1mf1", 2.253, 16.220, 5.050));
inputVariable1->addTerm(new Bell("in1mf2", 31.260, 15.021, 1.843));
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("in_n2");
inputVariable2->setRange(1.000, 31.000);
inputVariable2->setLockValueInRange(false);
inputVariable2->addTerm(new Bell("in2mf1", 0.740, 15.021, 1.843));
inputVariable2->addTerm(new Bell("in2mf2", 29.747, 16.220, 5.050));
engine->addInputVariable(inputVariable2);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("out1");
outputVariable->setRange(-0.334, 1.000);
outputVariable->setLockValueInRange(false);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousValue(false);
outputVariable->addTerm(Linear::create("out1mf1", engine, 0.026, 0.071, -0.615));
outputVariable->addTerm(Linear::create("out1mf2", engine, -0.036, 0.036, -1.169));
outputVariable->addTerm(Linear::create("out1mf3", engine, -0.094, 0.094, 2.231));
outputVariable->addTerm(Linear::create("out1mf4", engine, -0.071, -0.026, 2.479));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new AlgebraicProduct);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf1 and in_n2 is in2mf1 then out1 is out1mf1", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf1 and in_n2 is in2mf2 then out1 is out1mf2", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf2 and in_n2 is in2mf1 then out1 is out1mf3", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf2 and in_n2 is in2mf2 then out1 is out1mf4", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("anfis");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("in_n1");
inputVariable1->setRange(1.000, 31.000);
inputVariable1->setLockValueInRange(false);
inputVariable1->addTerm(new Bell("in1mf1", 1.152, 8.206, 0.874));
inputVariable1->addTerm(new Bell("in1mf2", 15.882, 7.078, 0.444));
inputVariable1->addTerm(new Bell("in1mf3", 30.575, 8.602, 0.818));
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("in_n2");
inputVariable2->setRange(1.000, 31.000);
inputVariable2->setLockValueInRange(false);
inputVariable2->addTerm(new Bell("in2mf1", 1.426, 8.602, 0.818));
inputVariable2->addTerm(new Bell("in2mf2", 16.118, 7.078, 0.445));
inputVariable2->addTerm(new Bell("in2mf3", 30.847, 8.206, 0.875));
engine->addInputVariable(inputVariable2);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("out1");
outputVariable->setRange(-0.334, 1.000);
outputVariable->setLockValueInRange(false);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousValue(false);
outputVariable->addTerm(Linear::create("out1mf1", engine, -0.035, 0.002, -0.352));
outputVariable->addTerm(Linear::create("out1mf2", engine, 0.044, 0.079, -0.028));
outputVariable->addTerm(Linear::create("out1mf3", engine, -0.024, 0.024, -1.599));
outputVariable->addTerm(Linear::create("out1mf4", engine, -0.067, 0.384, 0.007));
outputVariable->addTerm(Linear::create("out1mf5", engine, 0.351, -0.351, -3.663));
outputVariable->addTerm(Linear::create("out1mf6", engine, -0.079, -0.044, 3.909));
outputVariable->addTerm(Linear::create("out1mf7", engine, 0.012, -0.012, -0.600));
outputVariable->addTerm(Linear::create("out1mf8", engine, -0.384, 0.067, 10.158));
outputVariable->addTerm(Linear::create("out1mf9", engine, -0.002, 0.035, -1.402));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new AlgebraicProduct);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf1 and in_n2 is in2mf1 then out1 is out1mf1", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf1 and in_n2 is in2mf2 then out1 is out1mf2", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf1 and in_n2 is in2mf3 then out1 is out1mf3", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf2 and in_n2 is in2mf1 then out1 is out1mf4", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf2 and in_n2 is in2mf2 then out1 is out1mf5", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf2 and in_n2 is in2mf3 then out1 is out1mf6", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf3 and in_n2 is in2mf1 then out1 is out1mf7", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf3 and in_n2 is in2mf2 then out1 is out1mf8", engine));
ruleBlock->addRule(fl::Rule::parse("if in_n1 is in1mf3 and in_n2 is in2mf3 then out1 is out1mf9", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
//Code automatically generated with jfuzzylite 6.0.
using namespace fl;
Engine* engine = new Engine;
engine->setName("Laundry");
engine->setDescription("");
InputVariable* Load = new InputVariable;
Load->setName("Load");
Load->setDescription("");
Load->setEnabled(true);
Load->setRange(0.000, 6.000);
Load->setLockValueInRange(false);
Load->addTerm(Discrete::create("small", 8, 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000));
Load->addTerm(Discrete::create("normal", 6, 3.000, 0.000, 4.000, 1.000, 6.000, 0.000));
engine->addInputVariable(Load);
InputVariable* Dirt = new InputVariable;
Dirt->setName("Dirt");
Dirt->setDescription("");
Dirt->setEnabled(true);
Dirt->setRange(0.000, 6.000);
Dirt->setLockValueInRange(false);
Dirt->addTerm(Discrete::create("low", 6, 0.000, 1.000, 2.000, 0.800, 5.000, 0.000));
Dirt->addTerm(Discrete::create("high", 8, 1.000, 0.000, 2.000, 0.200, 4.000, 0.800, 6.000, 1.000));
engine->addInputVariable(Dirt);
OutputVariable* Detergent = new OutputVariable;
Detergent->setName("Detergent");
Detergent->setDescription("");
Detergent->setEnabled(true);
Detergent->setRange(0.000, 80.000);
Detergent->setLockValueInRange(false);
Detergent->setAggregation(new Maximum);
Detergent->setDefuzzifier(new MeanOfMaximum(500));
Detergent->setDefaultValue(fl::nan);
Detergent->setLockPreviousValue(false);
Detergent->addTerm(Discrete::create("less_than_usual", 6, 10.000, 0.000, 40.000, 1.000, 50.000, 0.000));
Detergent->addTerm(Discrete::create("usual", 8, 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000));
Detergent->addTerm(Discrete::create("more_than_usual", 4, 50.000, 0.000, 80.000, 1.000));
engine->addOutputVariable(Detergent);
OutputVariable* Cycle = new OutputVariable;
Cycle->setName("Cycle");
Cycle->setDescription("");
Cycle->setEnabled(true);
Cycle->setRange(0.000, 20.000);
Cycle->setLockValueInRange(false);
Cycle->setAggregation(new Maximum);
Cycle->setDefuzzifier(new MeanOfMaximum(500));
Cycle->setDefaultValue(fl::nan);
Cycle->setLockPreviousValue(false);
Cycle->addTerm(Discrete::create("short", 6, 0.000, 1.000, 10.000, 1.000, 20.000, 0.000));
Cycle->addTerm(Discrete::create("long", 4, 10.000, 0.000, 20.000, 1.000));
engine->addOutputVariable(Cycle);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setName("");
ruleBlock->setDescription("");
ruleBlock->setEnabled(true);
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->setActivation(new General);
ruleBlock->addRule(Rule::parse("if Load is small and Dirt is not high then Detergent is less_than_usual", engine));
ruleBlock->addRule(Rule::parse("if Load is small and Dirt is high then Detergent is usual", engine));
ruleBlock->addRule(Rule::parse("if Load is normal and Dirt is low then Detergent is less_than_usual", engine));
ruleBlock->addRule(Rule::parse("if Load is normal and Dirt is high then Detergent is more_than_usual", engine));
ruleBlock->addRule(Rule::parse("if Detergent is usual or Detergent is less_than_usual then Cycle is short", engine));
ruleBlock->addRule(Rule::parse("if Detergent is more_than_usual then Cycle is long", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("slcp");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("in1");
inputVariable1->setRange(-0.300, 0.300);
inputVariable1->addTerm(new Bell("in1mf1", -0.300, 0.300, 2.000));
inputVariable1->addTerm(new Bell("in1mf2", 0.300, 0.300, 2.000));
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("in2");
inputVariable2->setRange(-1.000, 1.000);
inputVariable2->addTerm(new Bell("in2mf1", -1.000, 1.000, 2.000));
inputVariable2->addTerm(new Bell("in2mf2", 1.000, 1.000, 2.000));
engine->addInputVariable(inputVariable2);
InputVariable* inputVariable3 = new InputVariable;
inputVariable3->setEnabled(true);
inputVariable3->setName("in3");
inputVariable3->setRange(-3.000, 3.000);
inputVariable3->addTerm(new Bell("in3mf1", -3.000, 3.000, 2.000));
inputVariable3->addTerm(new Bell("in3mf2", 3.000, 3.000, 2.000));
engine->addInputVariable(inputVariable3);
InputVariable* inputVariable4 = new InputVariable;
inputVariable4->setEnabled(true);
inputVariable4->setName("in4");
inputVariable4->setRange(-3.000, 3.000);
inputVariable4->addTerm(new Bell("in4mf1", -3.000, 3.000, 2.000));
inputVariable4->addTerm(new Bell("in4mf2", 3.000, 3.000, 2.000));
engine->addInputVariable(inputVariable4);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("out");
outputVariable->setRange(-10.000, 10.000);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousOutputValue(false);
outputVariable->setLockOutputValueInRange(false);
outputVariable->addTerm(Linear::create("outmf1", engine, 41.373, 10.030, 3.162, 4.288, 0.339));
outputVariable->addTerm(Linear::create("outmf2", engine, 40.409, 10.053, 3.162, 4.288, 0.207));
outputVariable->addTerm(Linear::create("outmf3", engine, 41.373, 10.030, 3.162, 4.288, 0.339));
outputVariable->addTerm(Linear::create("outmf4", engine, 40.409, 10.053, 3.162, 4.288, 0.207));
outputVariable->addTerm(Linear::create("outmf5", engine, 38.561, 10.177, 3.162, 4.288, -0.049));
outputVariable->addTerm(Linear::create("outmf6", engine, 37.596, 10.154, 3.162, 4.288, -0.181));
outputVariable->addTerm(Linear::create("outmf7", engine, 38.561, 10.177, 3.162, 4.288, -0.049));
outputVariable->addTerm(Linear::create("outmf8", engine, 37.596, 10.154, 3.162, 4.288, -0.181));
outputVariable->addTerm(Linear::create("outmf9", engine, 37.596, 10.154, 3.162, 4.288, 0.181));
outputVariable->addTerm(Linear::create("outmf10", engine, 38.561, 10.177, 3.162, 4.288, 0.049));
outputVariable->addTerm(Linear::create("outmf11", engine, 37.596, 10.154, 3.162, 4.288, 0.181));
outputVariable->addTerm(Linear::create("outmf12", engine, 38.561, 10.177, 3.162, 4.288, 0.049));
outputVariable->addTerm(Linear::create("outmf13", engine, 40.408, 10.053, 3.162, 4.288, -0.207));
outputVariable->addTerm(Linear::create("outmf14", engine, 41.373, 10.030, 3.162, 4.288, -0.339));
outputVariable->addTerm(Linear::create("outmf15", engine, 40.408, 10.053, 3.162, 4.288, -0.207));
outputVariable->addTerm(Linear::create("outmf16", engine, 41.373, 10.030, 3.162, 4.288, -0.339));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new AlgebraicProduct);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setActivation(fl::null);
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf1 and in3 is in3mf1 and in4 is in4mf1 then out is outmf1", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf1 and in3 is in3mf1 and in4 is in4mf2 then out is outmf2", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf1 and in3 is in3mf2 and in4 is in4mf1 then out is outmf3", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf1 and in3 is in3mf2 and in4 is in4mf2 then out is outmf4", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf2 and in3 is in3mf1 and in4 is in4mf1 then out is outmf5", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf2 and in3 is in3mf1 and in4 is in4mf2 then out is outmf6", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf2 and in3 is in3mf2 and in4 is in4mf1 then out is outmf7", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf1 and in2 is in2mf2 and in3 is in3mf2 and in4 is in4mf2 then out is outmf8", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf1 and in3 is in3mf1 and in4 is in4mf1 then out is outmf9", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf1 and in3 is in3mf1 and in4 is in4mf2 then out is outmf10", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf1 and in3 is in3mf2 and in4 is in4mf1 then out is outmf11", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf1 and in3 is in3mf2 and in4 is in4mf2 then out is outmf12", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf2 and in3 is in3mf1 and in4 is in4mf1 then out is outmf13", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf2 and in3 is in3mf1 and in4 is in4mf2 then out is outmf14", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf2 and in3 is in3mf2 and in4 is in4mf1 then out is outmf15", engine));
ruleBlock->addRule(fl::Rule::parse("if in1 is in1mf2 and in2 is in2mf2 and in3 is in3mf2 and in4 is in4mf2 then out is outmf16", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("tipper");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("service");
inputVariable1->setRange(0.000, 10.000);
inputVariable1->setLockValueInRange(false);
inputVariable1->addTerm(new Gaussian("poor", 0.000, 1.500));
inputVariable1->addTerm(new Gaussian("good", 5.000, 1.500));
inputVariable1->addTerm(new Gaussian("excellent", 10.000, 1.500));
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("food");
inputVariable2->setRange(0.000, 10.000);
inputVariable2->setLockValueInRange(false);
inputVariable2->addTerm(new Trapezoid("rancid", 0.000, 0.000, 1.000, 3.000));
inputVariable2->addTerm(new Trapezoid("delicious", 7.000, 9.000, 10.000, 10.000));
engine->addInputVariable(inputVariable2);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("tip");
outputVariable->setRange(0.000, 30.000);
outputVariable->setLockValueInRange(false);
outputVariable->fuzzyOutput()->setAccumulation(new Maximum);
outputVariable->setDefuzzifier(new Centroid(200));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousValue(false);
outputVariable->addTerm(new Triangle("cheap", 0.000, 5.000, 10.000));
outputVariable->addTerm(new Triangle("average", 10.000, 15.000, 20.000));
outputVariable->addTerm(new Triangle("generous", 20.000, 25.000, 30.000));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(new Maximum);
ruleBlock->setImplication(new Minimum);
ruleBlock->addRule(fl::Rule::parse("if service is poor or food is rancid then tip is cheap", engine));
ruleBlock->addRule(fl::Rule::parse("if service is good then tip is average", engine));
ruleBlock->addRule(fl::Rule::parse("if service is excellent or food is delicious then tip is generous", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("invkine2");
InputVariable* input1 = new InputVariable;
input1->setEnabled(true);
input1->setName("input1");
input1->setRange(-6.287, 17.000);
input1->setLockValueInRange(false);
input1->addTerm(new Bell("in1mf1", -5.763, 3.015, 1.851));
input1->addTerm(new Bell("in1mf2", -1.624, 3.130, 2.111));
input1->addTerm(new Bell("in1mf3", 3.552, 3.193, 2.104));
input1->addTerm(new Bell("in1mf4", 8.273, 2.907, 1.985));
input1->addTerm(new Bell("in1mf5", 13.232, 2.708, 2.056));
input1->addTerm(new Bell("in1mf6", 17.783, 1.635, 1.897));
engine->addInputVariable(input1);
InputVariable* input2 = new InputVariable;
input2->setEnabled(true);
input2->setName("input2");
input2->setRange(0.000, 16.972);
input2->setLockValueInRange(false);
input2->addTerm(new Bell("in2mf1", 0.005, 1.877, 1.995));
input2->addTerm(new Bell("in2mf2", 3.312, 2.017, 1.829));
input2->addTerm(new Bell("in2mf3", 6.568, 2.261, 1.793));
input2->addTerm(new Bell("in2mf4", 10.111, 2.741, 1.978));
input2->addTerm(new Bell("in2mf5", 14.952, 2.045, 1.783));
input2->addTerm(new Bell("in2mf6", 17.910, 0.824, 1.734));
engine->addInputVariable(input2);
OutputVariable* output = new OutputVariable;
output->setEnabled(true);
output->setName("output");
output->setRange(0.000, 3.100);
output->setLockValueInRange(false);
output->fuzzyOutput()->setAggregation(fl::null);
output->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
output->setDefaultValue(fl::nan);
output->setLockPreviousValue(false);
output->addTerm(Linear::create("out1mf1", engine, -0.048, 1.456, 2.222));
output->addTerm(Linear::create("out1mf2", engine, -0.218, -0.305, 2.042));
output->addTerm(Linear::create("out1mf3", engine, 0.026, -0.141, 3.067));
output->addTerm(Linear::create("out1mf4", engine, 0.052, -0.150, 3.419));
output->addTerm(Linear::create("out1mf5", engine, 0.113, -0.189, 4.339));
output->addTerm(Linear::create("out1mf6", engine, 2.543, 0.361, -2.738));
output->addTerm(Linear::create("out1mf7", engine, 2.517, -6.809, 23.353));
output->addTerm(Linear::create("out1mf8", engine, -0.208, -0.394, 4.472));
output->addTerm(Linear::create("out1mf9", engine, -0.046, -0.300, 4.452));
output->addTerm(Linear::create("out1mf10", engine, -0.006, -0.217, 4.195));
output->addTerm(Linear::create("out1mf11", engine, 0.089, -0.254, 4.992));
output->addTerm(Linear::create("out1mf12", engine, -0.033, 0.103, -2.012));
output->addTerm(Linear::create("out1mf13", engine, 1.355, 1.228, -5.678));
output->addTerm(Linear::create("out1mf14", engine, -0.245, -0.124, 3.753));
output->addTerm(Linear::create("out1mf15", engine, -0.099, -0.111, 3.304));
output->addTerm(Linear::create("out1mf16", engine, -0.052, -0.163, 3.560));
output->addTerm(Linear::create("out1mf17", engine, 0.099, -0.260, 4.662));
output->addTerm(Linear::create("out1mf18", engine, 0.082, -1.849, 31.104));
output->addTerm(Linear::create("out1mf19", engine, 2.180, -2.963, -0.061));
output->addTerm(Linear::create("out1mf20", engine, -0.982, 0.510, 5.657));
output->addTerm(Linear::create("out1mf21", engine, -0.087, -0.179, 3.744));
output->addTerm(Linear::create("out1mf22", engine, -0.124, -0.161, 4.094));
output->addTerm(Linear::create("out1mf23", engine, 0.383, 0.007, -1.559));
output->addTerm(Linear::create("out1mf24", engine, -8.415, 2.083, 5.177));
output->addTerm(Linear::create("out1mf25", engine, 1.721, -15.079, -0.687));
output->addTerm(Linear::create("out1mf26", engine, -1.043, -0.786, 20.510));
output->addTerm(Linear::create("out1mf27", engine, -0.249, -0.396, 6.995));
output->addTerm(Linear::create("out1mf28", engine, -0.076, -0.245, 4.416));
output->addTerm(Linear::create("out1mf29", engine, 0.765, -1.488, 17.384));
output->addTerm(Linear::create("out1mf30", engine, -21.210, -43.022, -2.522));
output->addTerm(Linear::create("out1mf31", engine, -0.661, 3.523, 6.215));
output->addTerm(Linear::create("out1mf32", engine, -1.998, 1.582, 33.256));
output->addTerm(Linear::create("out1mf33", engine, -2.068, 5.673, 6.520));
output->addTerm(Linear::create("out1mf34", engine, -5.044, 7.093, 3.516));
output->addTerm(Linear::create("out1mf35", engine, -46.049, -35.021, -2.926));
output->addTerm(Linear::create("out1mf36", engine, -0.448, -0.770, -0.041));
engine->addOutputVariable(output);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new AlgebraicProduct);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->setActivation(new General);
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf1 then output is out1mf1", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf2 then output is out1mf2", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf3 then output is out1mf3", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf4 then output is out1mf4", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf5 then output is out1mf5", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf1 and input2 is in2mf6 then output is out1mf6", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf1 then output is out1mf7", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf2 then output is out1mf8", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf3 then output is out1mf9", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf4 then output is out1mf10", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf5 then output is out1mf11", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf2 and input2 is in2mf6 then output is out1mf12", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf1 then output is out1mf13", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf2 then output is out1mf14", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf3 then output is out1mf15", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf4 then output is out1mf16", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf5 then output is out1mf17", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf3 and input2 is in2mf6 then output is out1mf18", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf1 then output is out1mf19", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf2 then output is out1mf20", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf3 then output is out1mf21", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf4 then output is out1mf22", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf5 then output is out1mf23", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf4 and input2 is in2mf6 then output is out1mf24", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf1 then output is out1mf25", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf2 then output is out1mf26", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf3 then output is out1mf27", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf4 then output is out1mf28", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf5 then output is out1mf29", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf5 and input2 is in2mf6 then output is out1mf30", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf1 then output is out1mf31", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf2 then output is out1mf32", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf3 then output is out1mf33", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf4 then output is out1mf34", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf5 then output is out1mf35", engine));
ruleBlock->addRule(fl::Rule::parse("if input1 is in1mf6 and input2 is in2mf6 then output is out1mf36", engine));
engine->addRuleBlock(ruleBlock);
}
int main(int argc, char** argv){
using namespace fl;
Engine* engine = new Engine;
engine->setName("Heart-Disease-Risk");
InputVariable* inputVariable1 = new InputVariable;
inputVariable1->setEnabled(true);
inputVariable1->setName("LDLLevel");
inputVariable1->setRange(0.000, 300.000);
inputVariable1->setLockValueInRange(false);
inputVariable1->addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000));
inputVariable1->addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000));
inputVariable1->addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000));
inputVariable1->addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000));
inputVariable1->addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000));
engine->addInputVariable(inputVariable1);
InputVariable* inputVariable2 = new InputVariable;
inputVariable2->setEnabled(true);
inputVariable2->setName("HDLLevel");
inputVariable2->setRange(0.000, 100.000);
inputVariable2->setLockValueInRange(false);
inputVariable2->addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000));
inputVariable2->addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000));
inputVariable2->addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000));
engine->addInputVariable(inputVariable2);
OutputVariable* outputVariable = new OutputVariable;
outputVariable->setEnabled(true);
outputVariable->setName("HeartDiseaseRisk");
outputVariable->setRange(0.000, 10.000);
outputVariable->setLockValueInRange(false);
outputVariable->fuzzyOutput()->setAccumulation(fl::null);
outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable->setDefaultValue(fl::nan);
outputVariable->setLockPreviousValue(false);
outputVariable->addTerm(new Constant("NoRisk", 0.000));
outputVariable->addTerm(new Constant("LowRisk", 2.500));
outputVariable->addTerm(new Constant("MediumRisk", 5.000));
outputVariable->addTerm(new Constant("HighRisk", 7.500));
outputVariable->addTerm(new Constant("ExtremeRisk", 10.000));
engine->addOutputVariable(outputVariable);
RuleBlock* ruleBlock = new RuleBlock;
ruleBlock->setEnabled(true);
ruleBlock->setName("");
ruleBlock->setConjunction(new Minimum);
ruleBlock->setDisjunction(fl::null);
ruleBlock->setImplication(fl::null);
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine));
ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine));
engine->addRuleBlock(ruleBlock);
}
void Engine::parseInput() throw (std::string)
{
// TODO: Add more error checking (if strings and numbers really exist)
std::string line;
std::getline(*inputFile, line);
ParseStateEnum parseState = Invalid;
InputVariable* actInputVar = NULL;
OutputVariable* actOutputVar = NULL;
while (!inputFile->eof())
{
if (line.find("#") == std::string::npos) // No comment
{
std::size_t delimiterPos = line.find(":");
std::string token = line.substr(0, delimiterPos);
if (token.compare("Engine") == 0)
{
std::size_t endPos = line.find(" ", delimiterPos + 2);
name = line.substr(delimiterPos + 2, endPos - delimiterPos - 2);
projectName = name;
name = name + "App";
}
else if (token.compare("InputVariable") == 0)
{
parseState = Input;
std::size_t endPos = line.find(" ", delimiterPos + 2);
actInputVar = addInputVariable(line.substr(delimiterPos + 2, endPos - delimiterPos - 2));
}
else if (token.compare("OutputVariable") == 0)
{
parseState = Output;
std::size_t endPos = line.find(" ", delimiterPos + 2);
actOutputVar = addOutputVariable(line.substr(delimiterPos + 2, endPos - delimiterPos - 2));
}
else if (token.compare("RuleBlock") == 0)
{
parseState = Rule;
}
else if (token.compare(" enabled") == 0)
{
switch(parseState)
{
case Invalid:
throw parseError;
break;
default:
std::cout << "Warning: The enabled option is not supported" << std::endl;
break;
}
}
else if (token.compare(" range") == 0)
{
std::size_t endFirstNumber = line.find(" ", delimiterPos + 2);
std::size_t endSecondNumber = line.find(" ", endFirstNumber + 1);
if (line.length() == endFirstNumber) throw parseError;
switch(parseState) // range: scalar scalar
{
case Input:
actInputVar->setRange(strtod(line.substr(delimiterPos + 2, endFirstNumber - delimiterPos - 2).c_str(), NULL),
strtod(line.substr(endFirstNumber + 1, endSecondNumber - endFirstNumber - 1).c_str(), NULL));
break;
case Output:
actOutputVar->setRange(strtod(line.substr(delimiterPos + 2, endFirstNumber - delimiterPos - 2).c_str(), NULL),
strtod(line.substr(endFirstNumber + 1, endSecondNumber - endFirstNumber - 1).c_str(), NULL));
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" term") == 0)
{
switch(parseState)
{
case Input:
try
{
parseTerm(actInputVar, line.substr(delimiterPos + 2), true);
}
catch (std::string error)
{
throw error;
}
break;
case Output:
try
{
parseTerm(actOutputVar, line.substr(delimiterPos + 2), false);
}
catch (std::string error)
{
throw error;
}
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" accumulation") == 0)
{
switch(parseState)
{
case Output:
std::cout << "Warning: The accumulation option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" defuzzifier") == 0)
{
switch(parseState)
{
case Output:
std::cout << "Warning: The defuzzifier option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" default") == 0)
{
switch(parseState)
{
case Output:
std::cout << "Warning: The default option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" lock-previous") == 0)
{
switch(parseState)
{
case Output:
std::cout << "Warning: The lock-previous option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" lock-range") == 0)
{
switch(parseState)
{
case Output:
std::cout << "Warning: The lock-range option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" conjunction") == 0)
{
switch(parseState)
{
case Rule:
std::cout << "Warning: The conjunction option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" disjunction") == 0)
{
switch(parseState)
{
case Rule:
std::cout << "Warning: The disjunction option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" activation") == 0)
{
switch(parseState)
{
case Rule:
std::cout << "Warning: The activation option is not supported" << std::endl;
break;
default:
throw parseError;
break;
}
}
else if (token.compare(" rule") == 0)
{
switch(parseState)
{
case Rule:
try
{
parseRule(line.substr(delimiterPos + 2));
}
catch (std::string error)
{
throw error;
}
break;
default:
throw parseError;
break;
}
}
else // Not a valid symbol
{
throw parseError;
}
}
std::getline(*inputFile, line);
}
}