mirror of
https://github.com/vcmi/vcmi.git
synced 2024-11-28 08:48:48 +02:00
119 lines
3.5 KiB
C++
119 lines
3.5 KiB
C++
/* Copyright 2010 Juan Rada-Vilela
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
*/
|
|
#include "LinguisticTerm.h"
|
|
|
|
#include "TriangularTerm.h"
|
|
#include "TrapezoidalTerm.h"
|
|
#include "ShoulderTerm.h"
|
|
#include "FuzzyException.h"
|
|
namespace fl {
|
|
|
|
LinguisticTerm::LinguisticTerm() :
|
|
_fuzzy_operator(NULL), _name(""), _minimum(-INFINITY), _maximum(INFINITY),
|
|
_modulation(flScalar(1.0)) {
|
|
setFuzzyOperator(FuzzyOperator::DefaultFuzzyOperator());
|
|
}
|
|
|
|
LinguisticTerm::LinguisticTerm(const std::string& name, flScalar minimum,
|
|
flScalar maximum) :
|
|
_fuzzy_operator(NULL), _name(name), _minimum(minimum), _maximum(maximum),
|
|
_modulation(flScalar(1.0)) {
|
|
setFuzzyOperator(FuzzyOperator::DefaultFuzzyOperator());
|
|
}
|
|
|
|
LinguisticTerm::LinguisticTerm(const FuzzyOperator& fuzzy_op,
|
|
const std::string& name, flScalar minimum, flScalar maximum) :
|
|
_fuzzy_operator(&fuzzy_op), _name(name), _minimum(minimum), _maximum(maximum),
|
|
_modulation(flScalar(1.0)) {
|
|
|
|
}
|
|
|
|
LinguisticTerm::~LinguisticTerm() {
|
|
|
|
}
|
|
|
|
void LinguisticTerm::setFuzzyOperator(const FuzzyOperator& fuzzy_operator) {
|
|
this->_fuzzy_operator = &fuzzy_operator;
|
|
}
|
|
|
|
const FuzzyOperator& LinguisticTerm::fuzzyOperator() const {
|
|
return *this->_fuzzy_operator;
|
|
}
|
|
|
|
void LinguisticTerm::setName(const std::string& name) {
|
|
this->_name = name;
|
|
}
|
|
|
|
std::string LinguisticTerm::name() const {
|
|
return this->_name;
|
|
}
|
|
|
|
void LinguisticTerm::setMinimum(flScalar min) {
|
|
this->_minimum = min;
|
|
}
|
|
|
|
flScalar LinguisticTerm::minimum() const {
|
|
return _minimum;
|
|
}
|
|
|
|
void LinguisticTerm::setMaximum(flScalar max) {
|
|
this->_maximum = max;
|
|
}
|
|
|
|
flScalar LinguisticTerm::maximum() const {
|
|
return _maximum;
|
|
}
|
|
|
|
void LinguisticTerm::setModulation(flScalar degree) {
|
|
this->_modulation = degree;
|
|
}
|
|
|
|
flScalar LinguisticTerm::modulation() const {
|
|
return this->_modulation;
|
|
}
|
|
|
|
flScalar LinguisticTerm::defuzzify() const {
|
|
return fuzzyOperator().defuzzify(this);
|
|
}
|
|
|
|
flScalar LinguisticTerm::area() const {
|
|
return fuzzyOperator().area(this);
|
|
}
|
|
|
|
void LinguisticTerm::centroid(flScalar& x, flScalar& y) const {
|
|
fuzzyOperator().centroid(this, x, y);
|
|
}
|
|
|
|
flScalar LinguisticTerm::areaAndCentroid(flScalar& x, flScalar& y) const {
|
|
return fuzzyOperator().areaAndCentroid(this, x, y);
|
|
}
|
|
|
|
void LinguisticTerm::samples(std::vector<flScalar>& x, std::vector<flScalar>& y,
|
|
int samples, int out_of_range) const {
|
|
flScalar step_size = (maximum() - minimum()) / samples;
|
|
flScalar step = minimum() - (out_of_range * step_size);
|
|
for (int i = 0 - out_of_range; i < samples + out_of_range + 1; ++i, step
|
|
+= step_size) {
|
|
x.push_back(step);
|
|
y.push_back(membership(step));
|
|
}
|
|
}
|
|
|
|
std::string LinguisticTerm::toString() const {
|
|
return "TERM " + name() + " := ";
|
|
}
|
|
|
|
}
|