1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
|
/*
Author: Juan Rada-Vilela, Ph.D.
Copyright (C) 2010-2014 FuzzyLite Limited
All rights reserved
This file is part of fuzzylite.
fuzzylite is free software: you can redistribute it and/or modify it under
the terms of the GNU Lesser General Public License as published by the Free
Software Foundation, either version 3 of the License, or (at your option)
any later version.
fuzzylite is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
for more details.
You should have received a copy of the GNU Lesser General Public License
along with fuzzylite. If not, see <http://www.gnu.org/licenses/>.
fuzzylite™ is a trademark of FuzzyLite Limited.
*/
#include "fl/variable/OutputVariable.h"
#include "fl/defuzzifier/Defuzzifier.h"
#include "fl/imex/FllExporter.h"
#include "fl/norm/SNorm.h"
#include "fl/term/Accumulated.h"
#include "fl/term/Activated.h"
namespace fl {
OutputVariable::OutputVariable(const std::string& name,
scalar minimum, scalar maximum)
: Variable(name, minimum, maximum),
_fuzzyOutput(new Accumulated(name, minimum, maximum)), _outputValue(fl::nan),
_previousOutputValue(fl::nan), _defaultValue(fl::nan),
_lockOutputValueInRange(false), _lockPreviousOutputValue(false) {
}
OutputVariable::OutputVariable(const OutputVariable& other) : Variable(other) {
copyFrom(other);
}
OutputVariable& OutputVariable::operator=(const OutputVariable& other) {
if (this != &other) {
_fuzzyOutput.reset(fl::null);
_defuzzifier.reset(fl::null);
Variable::operator=(other);
copyFrom(other);
}
return *this;
}
OutputVariable::~OutputVariable() {
}
void OutputVariable::copyFrom(const OutputVariable& other) {
_fuzzyOutput.reset(other._fuzzyOutput->clone());
if (other._defuzzifier.get()) _defuzzifier.reset(other._defuzzifier->clone());
_outputValue = other._outputValue;
_previousOutputValue = other._previousOutputValue;
_defaultValue = other._defaultValue;
_lockOutputValueInRange = other._lockOutputValueInRange;
_lockPreviousOutputValue = other._lockPreviousOutputValue;
}
void OutputVariable::setName(const std::string& name) {
Variable::setName(name);
this->_fuzzyOutput->setName(name);
}
Accumulated* OutputVariable::fuzzyOutput() const {
return this->_fuzzyOutput.get();
}
void OutputVariable::setMinimum(scalar minimum) {
Variable::setMinimum(minimum);
this->_fuzzyOutput->setMinimum(minimum);
}
void OutputVariable::setMaximum(scalar maximum) {
Variable::setMaximum(maximum);
this->_fuzzyOutput->setMaximum(maximum);
}
void OutputVariable::setDefuzzifier(Defuzzifier* defuzzifier) {
this->_defuzzifier.reset(defuzzifier);
}
Defuzzifier* OutputVariable::getDefuzzifier() const {
return this->_defuzzifier.get();
}
void OutputVariable::setOutputValue(scalar outputValue) {
this->_outputValue = outputValue;
}
scalar OutputVariable::getOutputValue() const {
return this->_outputValue;
}
void OutputVariable::setPreviousOutputValue(scalar previousOutputValue) {
this->_previousOutputValue = previousOutputValue;
}
scalar OutputVariable::getPreviousOutputValue() const {
return this->_previousOutputValue;
}
void OutputVariable::setDefaultValue(scalar defaultValue) {
this->_defaultValue = defaultValue;
}
scalar OutputVariable::getDefaultValue() const {
return this->_defaultValue;
}
void OutputVariable::setLockOutputValueInRange(bool lockOutputValueInRange) {
this->_lockOutputValueInRange = lockOutputValueInRange;
}
bool OutputVariable::isLockedOutputValueInRange() const {
return this->_lockOutputValueInRange;
}
void OutputVariable::setLockPreviousOutputValue(bool lockPreviousOutputValue) {
this->_lockPreviousOutputValue = lockPreviousOutputValue;
}
bool OutputVariable::isLockedPreviousOutputValue() const {
return this->_lockPreviousOutputValue;
}
void OutputVariable::defuzzify() {
if (fl::Op::isFinite(this->_outputValue)) {
this->_previousOutputValue = this->_outputValue;
}
scalar result = fl::nan;
bool isValid = this->_enabled and not this->_fuzzyOutput->isEmpty();
if (isValid) {
if (not _defuzzifier.get()) {
throw fl::Exception("[defuzzifier error] "
"defuzzifier needed to defuzzify output variable <" + _name + ">", FL_AT);
}
result = this->_defuzzifier->defuzzify(this->_fuzzyOutput.get(), _minimum, _maximum);
} else {
//if a previous defuzzification was successfully performed and
//and the output value is supposed not to change when the output is empty
if (_lockPreviousOutputValue and not Op::isNaN(_previousOutputValue)) {
result = _previousOutputValue;
} else {
result = _defaultValue;
}
}
if (_lockOutputValueInRange) {
result = fl::Op::bound(result, _minimum, _maximum);
}
this->_outputValue = result;
}
std::string OutputVariable::fuzzyOutputValue() const {
std::ostringstream ss;
for (std::size_t i = 0; i < _terms.size(); ++i) {
scalar degree = _fuzzyOutput->activationDegree(_terms.at(i));
if (i == 0) {
ss << fl::Op::str(degree);
} else {
if (fl::Op::isNaN(degree) or fl::Op::isGE(degree, 0.0))
ss << " + " << fl::Op::str(degree);
else
ss << " - " << fl::Op::str(std::fabs(degree));
}
ss << "/" << _terms.at(i)->getName();
}
return ss.str();
}
void OutputVariable::clear() {
_fuzzyOutput->clear();
setPreviousOutputValue(fl::nan);
setOutputValue(fl::nan);
}
std::string OutputVariable::toString() const {
return FllExporter().toString(this);
}
}
|
