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+/*
+ fuzzylite (R), a fuzzy logic control library in C++.
+ Copyright (C) 2010-2017 FuzzyLite Limited. All rights reserved.
+ Author: Juan Rada-Vilela, Ph.D. <jcrada@fuzzylite.com>
+
+ This file is part of fuzzylite.
+
+ fuzzylite is free software: you can redistribute it and/or modify it under
+ the terms of the FuzzyLite License included with the software.
+
+ You should have received a copy of the FuzzyLite License along with
+ fuzzylite. If not, see <http://www.fuzzylite.com/license/>.
+
+ fuzzylite is a registered trademark of FuzzyLite Limited.
+ */
+
+#include "fl/activation/First.h"
+
+#include "fl/rule/RuleBlock.h"
+#include "fl/rule/Rule.h"
+#include "fl/Operation.h"
+
+namespace fl {
+
+ First::First(int numberOfRules, scalar threshold) : Activation(),
+ _numberOfRules(numberOfRules), _threshold(threshold) { }
+
+ First::~First() { }
+
+ std::string First::className() const {
+ return "First";
+ }
+
+ std::string First::parameters() const {
+ return Op::str(getNumberOfRules()) + " " + Op::str(getThreshold());
+ }
+
+ void First::configure(const std::string& parameters) {
+ if (parameters.empty()) return;
+ std::vector<std::string> values = Op::split(parameters, " ");
+ std::size_t required = 2;
+ if (values.size() < required) {
+ std::ostringstream ex;
+ ex << "[configuration error] activation <" << className() << ">"
+ << " requires <" << required << "> parameters";
+ throw Exception(ex.str(), FL_AT);
+ }
+ setNumberOfRules((int) Op::toScalar(values.at(0)));
+ setThreshold(Op::toScalar(values.at(1)));
+ }
+
+ Complexity First::complexity(const RuleBlock* ruleBlock) const {
+ Complexity result;
+
+ const TNorm* conjunction = ruleBlock->getConjunction();
+ const SNorm* disjunction = ruleBlock->getDisjunction();
+ const TNorm* implication = ruleBlock->getImplication();
+
+ Complexity meanFiring;
+ for (std::size_t i = 0; i < ruleBlock->numberOfRules(); ++i) {
+ result.comparison(1 + 3);
+ const Rule* rule = ruleBlock->getRule(i);
+ result += rule->complexityOfActivation(conjunction, disjunction);
+ meanFiring += rule->complexityOfFiring(implication);
+ }
+ meanFiring.divide(scalar(ruleBlock->numberOfRules()));
+
+ result += meanFiring.multiply(getNumberOfRules());
+ result += Complexity().arithmetic(1).multiply(getNumberOfRules());
+ return result;
+ }
+
+ void First::activate(RuleBlock* ruleBlock) {
+ FL_DBG("Activation: " << className() << " " << parameters());
+ const TNorm* conjunction = ruleBlock->getConjunction();
+ const SNorm* disjunction = ruleBlock->getDisjunction();
+ const TNorm* implication = ruleBlock->getImplication();
+
+ int activated = 0;
+ for (std::vector<Rule*>::const_iterator it = ruleBlock->rules().begin();
+ it != ruleBlock->rules().end(); ++it) {
+ Rule* rule = (*it);
+ rule->deactivate();
+
+ if (rule->isLoaded()) {
+ scalar activationDegree = rule->activateWith(conjunction, disjunction);
+ if (activated < _numberOfRules
+ and Op::isGt(activationDegree, 0.0)
+ and Op::isGE(activationDegree, _threshold)) {
+ rule->trigger(implication);
+ ++activated;
+ }
+ }
+ }
+ }
+
+ void First::setNumberOfRules(int numberOfRules) {
+ this->_numberOfRules = numberOfRules;
+ }
+
+ int First::getNumberOfRules() const {
+ return this->_numberOfRules;
+ }
+
+ void First::setThreshold(scalar threshold) {
+ this->_threshold = threshold;
+ }
+
+ scalar First::getThreshold() const {
+ return this->_threshold;
+ }
+
+ First* First::clone() const {
+ return new First(*this);
+ }
+
+ Activation* First::constructor() {
+ return new First;
+ }
+
+}
+