New upstream version 6.0+dfsg

66 files changed, 11895 insertions, 0 deletions

diff --git a/examples/mamdani/AllTerms.R b/examples/mamdani/AllTerms.R
new file mode 100644
index 0000000..1b17463
--- /dev/null
+++ b/examples/mamdani/AllTerms.R
@@ -0,0 +1,111 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "AllTerms"
+engine.fll = "Engine: AllTerms
+InputVariable: AllInputTerms
+  enabled: true
+  range: 0.000 6.500
+  lock-range: false
+  term: A Sigmoid 0.500 -20.000
+  term: B ZShape 0.000 1.000
+  term: C Ramp 1.000 0.000
+  term: D Triangle 0.500 1.000 1.500
+  term: E Trapezoid 1.000 1.250 1.750 2.000
+  term: F Concave 0.850 0.250
+  term: G Rectangle 1.750 2.250
+  term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000
+  term: I Gaussian 3.000 0.200
+  term: J Cosine 3.250 0.650
+  term: K GaussianProduct 3.500 0.100 3.300 0.300
+  term: L Spike 3.640 1.040
+  term: M Bell 4.000 0.250 3.000
+  term: N PiShape 4.000 4.500 4.500 5.000
+  term: O Concave 5.650 6.250
+  term: P SigmoidDifference 4.750 10.000 30.000 5.250
+  term: Q SigmoidProduct 5.250 20.000 -10.000 5.750
+  term: R Ramp 5.500 6.500
+  term: S SShape 5.500 6.500
+  term: T Sigmoid 6.000 20.000
+OutputVariable: AllOutputTerms
+  enabled: true
+  range: 0.000 6.500
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: A Sigmoid 0.500 -20.000
+  term: B ZShape 0.000 1.000
+  term: C Ramp 1.000 0.000
+  term: D Triangle 0.500 1.000 1.500
+  term: E Trapezoid 1.000 1.250 1.750 2.000
+  term: F Concave 0.850 0.250
+  term: G Rectangle 1.750 2.250
+  term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000
+  term: I Gaussian 3.000 0.200
+  term: J Cosine 3.250 0.650
+  term: K GaussianProduct 3.500 0.100 3.300 0.300
+  term: L Spike 3.640 1.040
+  term: M Bell 4.000 0.250 3.000
+  term: N PiShape 4.000 4.500 4.500 5.000
+  term: O Concave 5.650 6.250
+  term: P SigmoidDifference 4.750 10.000 30.000 5.250
+  term: Q SigmoidProduct 5.250 20.000 -10.000 5.750
+  term: R Ramp 5.500 6.500
+  term: S SShape 5.500 6.500
+  term: T Sigmoid 6.000 20.000
+RuleBlock: 
+  enabled: true
+  conjunction: Minimum
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if AllInputTerms is A then AllOutputTerms is T
+  rule: if AllInputTerms is B then AllOutputTerms is S
+  rule: if AllInputTerms is C then AllOutputTerms is R
+  rule: if AllInputTerms is D then AllOutputTerms is Q
+  rule: if AllInputTerms is E then AllOutputTerms is P
+  rule: if AllInputTerms is F then AllOutputTerms is O
+  rule: if AllInputTerms is G then AllOutputTerms is N
+  rule: if AllInputTerms is H then AllOutputTerms is M
+  rule: if AllInputTerms is I then AllOutputTerms is L
+  rule: if AllInputTerms is J then AllOutputTerms is K
+  rule: if AllInputTerms is K then AllOutputTerms is J
+  rule: if AllInputTerms is L then AllOutputTerms is I
+  rule: if AllInputTerms is M then AllOutputTerms is H
+  rule: if AllInputTerms is N then AllOutputTerms is G
+  rule: if AllInputTerms is O then AllOutputTerms is F
+  rule: if AllInputTerms is P then AllOutputTerms is E
+  rule: if AllInputTerms is Q then AllOutputTerms is D
+  rule: if AllInputTerms is R then AllOutputTerms is C
+  rule: if AllInputTerms is S then AllOutputTerms is B
+  rule: if AllInputTerms is T then AllOutputTerms is A"
+
+engine.fldFile = "AllTerms.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1_o1 = ggplot(engine.df, aes(AllInputTerms, AllOutputTerms)) + 
+    geom_line(aes(color=AllOutputTerms), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("AllInputTerms vs AllOutputTerms")
+
+engine.plot.o1_i1 = ggplot(engine.df, aes(AllInputTerms, AllOutputTerms)) + 
+    geom_line(aes(color=AllOutputTerms), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("AllOutputTerms vs AllInputTerms")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/AllTerms.cpp b/examples/mamdani/AllTerms.cpp
new file mode 100644
index 0000000..3d96ef5
--- /dev/null
+++ b/examples/mamdani/AllTerms.cpp
@@ -0,0 +1,103 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("AllTerms");
+engine->setDescription("");
+
+InputVariable* AllInputTerms = new InputVariable;
+AllInputTerms->setName("AllInputTerms");
+AllInputTerms->setDescription("");
+AllInputTerms->setEnabled(true);
+AllInputTerms->setRange(0.000, 6.500);
+AllInputTerms->setLockValueInRange(false);
+AllInputTerms->addTerm(new Sigmoid("A", 0.500, -20.000));
+AllInputTerms->addTerm(new ZShape("B", 0.000, 1.000));
+AllInputTerms->addTerm(new Ramp("C", 1.000, 0.000));
+AllInputTerms->addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+AllInputTerms->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+AllInputTerms->addTerm(new Concave("F", 0.850, 0.250));
+AllInputTerms->addTerm(new Rectangle("G", 1.750, 2.250));
+AllInputTerms->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));
+AllInputTerms->addTerm(new Gaussian("I", 3.000, 0.200));
+AllInputTerms->addTerm(new Cosine("J", 3.250, 0.650));
+AllInputTerms->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+AllInputTerms->addTerm(new Spike("L", 3.640, 1.040));
+AllInputTerms->addTerm(new Bell("M", 4.000, 0.250, 3.000));
+AllInputTerms->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+AllInputTerms->addTerm(new Concave("O", 5.650, 6.250));
+AllInputTerms->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+AllInputTerms->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+AllInputTerms->addTerm(new Ramp("R", 5.500, 6.500));
+AllInputTerms->addTerm(new SShape("S", 5.500, 6.500));
+AllInputTerms->addTerm(new Sigmoid("T", 6.000, 20.000));
+engine->addInputVariable(AllInputTerms);
+
+OutputVariable* AllOutputTerms = new OutputVariable;
+AllOutputTerms->setName("AllOutputTerms");
+AllOutputTerms->setDescription("");
+AllOutputTerms->setEnabled(true);
+AllOutputTerms->setRange(0.000, 6.500);
+AllOutputTerms->setLockValueInRange(false);
+AllOutputTerms->setAggregation(new Maximum);
+AllOutputTerms->setDefuzzifier(new Centroid(200));
+AllOutputTerms->setDefaultValue(fl::nan);
+AllOutputTerms->setLockPreviousValue(false);
+AllOutputTerms->addTerm(new Sigmoid("A", 0.500, -20.000));
+AllOutputTerms->addTerm(new ZShape("B", 0.000, 1.000));
+AllOutputTerms->addTerm(new Ramp("C", 1.000, 0.000));
+AllOutputTerms->addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+AllOutputTerms->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+AllOutputTerms->addTerm(new Concave("F", 0.850, 0.250));
+AllOutputTerms->addTerm(new Rectangle("G", 1.750, 2.250));
+AllOutputTerms->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));
+AllOutputTerms->addTerm(new Gaussian("I", 3.000, 0.200));
+AllOutputTerms->addTerm(new Cosine("J", 3.250, 0.650));
+AllOutputTerms->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+AllOutputTerms->addTerm(new Spike("L", 3.640, 1.040));
+AllOutputTerms->addTerm(new Bell("M", 4.000, 0.250, 3.000));
+AllOutputTerms->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+AllOutputTerms->addTerm(new Concave("O", 5.650, 6.250));
+AllOutputTerms->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+AllOutputTerms->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+AllOutputTerms->addTerm(new Ramp("R", 5.500, 6.500));
+AllOutputTerms->addTerm(new SShape("S", 5.500, 6.500));
+AllOutputTerms->addTerm(new Sigmoid("T", 6.000, 20.000));
+engine->addOutputVariable(AllOutputTerms);
+
+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 AllInputTerms is A then AllOutputTerms is T", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is B then AllOutputTerms is S", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is C then AllOutputTerms is R", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is D then AllOutputTerms is Q", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is E then AllOutputTerms is P", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is F then AllOutputTerms is O", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is G then AllOutputTerms is N", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is H then AllOutputTerms is M", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is I then AllOutputTerms is L", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is J then AllOutputTerms is K", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is K then AllOutputTerms is J", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is L then AllOutputTerms is I", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is M then AllOutputTerms is H", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is N then AllOutputTerms is G", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is O then AllOutputTerms is F", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is P then AllOutputTerms is E", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is Q then AllOutputTerms is D", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is R then AllOutputTerms is C", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is S then AllOutputTerms is B", engine));
+ruleBlock->addRule(Rule::parse("if AllInputTerms is T then AllOutputTerms is A", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/AllTerms.fcl b/examples/mamdani/AllTerms.fcl
new file mode 100644
index 0000000..0c56fd6
--- /dev/null
+++ b/examples/mamdani/AllTerms.fcl
@@ -0,0 +1,90 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK AllTerms
+
+VAR_INPUT
+  AllInputTerms: REAL;
+END_VAR
+
+VAR_OUTPUT
+  AllOutputTerms: REAL;
+END_VAR
+
+FUZZIFY AllInputTerms
+  RANGE := (0.000 .. 6.500);
+  TERM A := Sigmoid 0.500 -20.000;
+  TERM B := ZShape 0.000 1.000;
+  TERM C := Ramp 1.000 0.000;
+  TERM D := Triangle 0.500 1.000 1.500;
+  TERM E := Trapezoid 1.000 1.250 1.750 2.000;
+  TERM F := Concave 0.850 0.250;
+  TERM G := Rectangle 1.750 2.250;
+  TERM H := (2.000, 0.000) (2.250, 1.000) (2.500, 0.500) (2.750, 1.000) (3.000, 0.000);
+  TERM I := Gaussian 3.000 0.200;
+  TERM J := Cosine 3.250 0.650;
+  TERM K := GaussianProduct 3.500 0.100 3.300 0.300;
+  TERM L := Spike 3.640 1.040;
+  TERM M := Bell 4.000 0.250 3.000;
+  TERM N := PiShape 4.000 4.500 4.500 5.000;
+  TERM O := Concave 5.650 6.250;
+  TERM P := SigmoidDifference 4.750 10.000 30.000 5.250;
+  TERM Q := SigmoidProduct 5.250 20.000 -10.000 5.750;
+  TERM R := Ramp 5.500 6.500;
+  TERM S := SShape 5.500 6.500;
+  TERM T := Sigmoid 6.000 20.000;
+END_FUZZIFY
+
+DEFUZZIFY AllOutputTerms
+  RANGE := (0.000 .. 6.500);
+  TERM A := Sigmoid 0.500 -20.000;
+  TERM B := ZShape 0.000 1.000;
+  TERM C := Ramp 1.000 0.000;
+  TERM D := Triangle 0.500 1.000 1.500;
+  TERM E := Trapezoid 1.000 1.250 1.750 2.000;
+  TERM F := Concave 0.850 0.250;
+  TERM G := Rectangle 1.750 2.250;
+  TERM H := (2.000, 0.000) (2.250, 1.000) (2.500, 0.500) (2.750, 1.000) (3.000, 0.000);
+  TERM I := Gaussian 3.000 0.200;
+  TERM J := Cosine 3.250 0.650;
+  TERM K := GaussianProduct 3.500 0.100 3.300 0.300;
+  TERM L := Spike 3.640 1.040;
+  TERM M := Bell 4.000 0.250 3.000;
+  TERM N := PiShape 4.000 4.500 4.500 5.000;
+  TERM O := Concave 5.650 6.250;
+  TERM P := SigmoidDifference 4.750 10.000 30.000 5.250;
+  TERM Q := SigmoidProduct 5.250 20.000 -10.000 5.750;
+  TERM R := Ramp 5.500 6.500;
+  TERM S := SShape 5.500 6.500;
+  TERM T := Sigmoid 6.000 20.000;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  AND : MIN;
+  OR : MAX;
+  ACT : MIN;
+  RULE 1 : if AllInputTerms is A then AllOutputTerms is T
+  RULE 2 : if AllInputTerms is B then AllOutputTerms is S
+  RULE 3 : if AllInputTerms is C then AllOutputTerms is R
+  RULE 4 : if AllInputTerms is D then AllOutputTerms is Q
+  RULE 5 : if AllInputTerms is E then AllOutputTerms is P
+  RULE 6 : if AllInputTerms is F then AllOutputTerms is O
+  RULE 7 : if AllInputTerms is G then AllOutputTerms is N
+  RULE 8 : if AllInputTerms is H then AllOutputTerms is M
+  RULE 9 : if AllInputTerms is I then AllOutputTerms is L
+  RULE 10 : if AllInputTerms is J then AllOutputTerms is K
+  RULE 11 : if AllInputTerms is K then AllOutputTerms is J
+  RULE 12 : if AllInputTerms is L then AllOutputTerms is I
+  RULE 13 : if AllInputTerms is M then AllOutputTerms is H
+  RULE 14 : if AllInputTerms is N then AllOutputTerms is G
+  RULE 15 : if AllInputTerms is O then AllOutputTerms is F
+  RULE 16 : if AllInputTerms is P then AllOutputTerms is E
+  RULE 17 : if AllInputTerms is Q then AllOutputTerms is D
+  RULE 18 : if AllInputTerms is R then AllOutputTerms is C
+  RULE 19 : if AllInputTerms is S then AllOutputTerms is B
+  RULE 20 : if AllInputTerms is T then AllOutputTerms is A
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/AllTerms.fis b/examples/mamdani/AllTerms.fis
new file mode 100644
index 0000000..d34e487
--- /dev/null
+++ b/examples/mamdani/AllTerms.fis
@@ -0,0 +1,86 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='AllTerms'
+Type='mamdani'
+Version=6.0
+NumInputs=1
+NumOutputs=1
+NumRules=20
+AndMethod='min'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='max'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='AllInputTerms'
+Range=[0.000 6.500]
+NumMFs=20
+MF1='A':'sigmf',[-20.000 0.500]
+MF2='B':'zmf',[0.000 1.000]
+MF3='C':'rampmf',[1.000 0.000]
+MF4='D':'trimf',[0.500 1.000 1.500]
+MF5='E':'trapmf',[1.000 1.250 1.750 2.000]
+MF6='F':'concavemf',[0.850 0.250]
+MF7='G':'rectmf',[1.750 2.250]
+MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000]
+MF9='I':'gaussmf',[0.200 3.000]
+MF10='J':'cosinemf',[3.250 0.650]
+MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300]
+MF12='L':'spikemf',[3.640 1.040]
+MF13='M':'gbellmf',[0.250 3.000 4.000]
+MF14='N':'pimf',[4.000 4.500 4.500 5.000]
+MF15='O':'concavemf',[5.650 6.250]
+MF16='P':'dsigmf',[10.000 4.750 30.000 5.250]
+MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750]
+MF18='R':'rampmf',[5.500 6.500]
+MF19='S':'smf',[5.500 6.500]
+MF20='T':'sigmf',[20.000 6.000]
+
+[Output1]
+Name='AllOutputTerms'
+Range=[0.000 6.500]
+NumMFs=20
+MF1='A':'sigmf',[-20.000 0.500]
+MF2='B':'zmf',[0.000 1.000]
+MF3='C':'rampmf',[1.000 0.000]
+MF4='D':'trimf',[0.500 1.000 1.500]
+MF5='E':'trapmf',[1.000 1.250 1.750 2.000]
+MF6='F':'concavemf',[0.850 0.250]
+MF7='G':'rectmf',[1.750 2.250]
+MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000]
+MF9='I':'gaussmf',[0.200 3.000]
+MF10='J':'cosinemf',[3.250 0.650]
+MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300]
+MF12='L':'spikemf',[3.640 1.040]
+MF13='M':'gbellmf',[0.250 3.000 4.000]
+MF14='N':'pimf',[4.000 4.500 4.500 5.000]
+MF15='O':'concavemf',[5.650 6.250]
+MF16='P':'dsigmf',[10.000 4.750 30.000 5.250]
+MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750]
+MF18='R':'rampmf',[5.500 6.500]
+MF19='S':'smf',[5.500 6.500]
+MF20='T':'sigmf',[20.000 6.000]
+
+[Rules]
+1.000 , 20.000 (1.000) : 1
+2.000 , 19.000 (1.000) : 1
+3.000 , 18.000 (1.000) : 1
+4.000 , 17.000 (1.000) : 1
+5.000 , 16.000 (1.000) : 1
+6.000 , 15.000 (1.000) : 1
+7.000 , 14.000 (1.000) : 1
+8.000 , 13.000 (1.000) : 1
+9.000 , 12.000 (1.000) : 1
+10.000 , 11.000 (1.000) : 1
+11.000 , 10.000 (1.000) : 1
+12.000 , 9.000 (1.000) : 1
+13.000 , 8.000 (1.000) : 1
+14.000 , 7.000 (1.000) : 1
+15.000 , 6.000 (1.000) : 1
+16.000 , 5.000 (1.000) : 1
+17.000 , 4.000 (1.000) : 1
+18.000 , 3.000 (1.000) : 1
+19.000 , 2.000 (1.000) : 1
+20.000 , 1.000 (1.000) : 1
diff --git a/examples/mamdani/AllTerms.fld b/examples/mamdani/AllTerms.fld
new file mode 100644
index 0000000..b765a5b
--- /dev/null
+++ b/examples/mamdani/AllTerms.fld
@@ -0,0 +1,1025 @@
+AllInputTerms AllOutputTerms
+0.000000000 4.599895277
+0.006353861 4.599895277
+0.012707722 4.599895277
+0.019061584 4.599892153
+0.025415445 4.599885084
+0.031769306 4.599878001
+0.038123167 4.599870905
+0.044477028 4.599863796
+0.050830890 4.599854356
+0.057184751 4.599840135
+0.063538612 4.599825888
+0.069892473 4.599811614
+0.076246334 4.599797313
+0.082600196 4.599781479
+0.088954057 4.599760024
+0.095307918 4.599738529
+0.101661779 4.599716994
+0.108015640 4.599695418
+0.114369501 4.599673109
+0.120723363 4.599644337
+0.127077224 4.599615510
+0.133431085 4.599586630
+0.139784946 4.599557695
+0.146138807 4.599528705
+0.152492669 4.599492655
+0.158846530 4.599456412
+0.165200391 4.599420101
+0.171554252 4.599383721
+0.177908113 4.599347272
+0.184261975 4.599304555
+0.190615836 4.599260809
+0.196969697 4.599216981
+0.203323558 4.599173070
+0.209677419 4.599129075
+0.216031281 4.599079607
+0.222385142 4.599028272
+0.228739003 4.598976839
+0.235092864 4.598925308
+0.241446725 4.598873679
+0.247800587 4.598817377
+0.254154448 4.596919174
+0.260508309 4.596493440
+0.266862170 4.596137632
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diff --git a/examples/mamdani/AllTerms.fll b/examples/mamdani/AllTerms.fll
new file mode 100644
index 0000000..4db1b32
--- /dev/null
+++ b/examples/mamdani/AllTerms.fll
@@ -0,0 +1,79 @@
+Engine: AllTerms
+InputVariable: AllInputTerms
+  enabled: true
+  range: 0.000 6.500
+  lock-range: false
+  term: A Sigmoid 0.500 -20.000
+  term: B ZShape 0.000 1.000
+  term: C Ramp 1.000 0.000
+  term: D Triangle 0.500 1.000 1.500
+  term: E Trapezoid 1.000 1.250 1.750 2.000
+  term: F Concave 0.850 0.250
+  term: G Rectangle 1.750 2.250
+  term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000
+  term: I Gaussian 3.000 0.200
+  term: J Cosine 3.250 0.650
+  term: K GaussianProduct 3.500 0.100 3.300 0.300
+  term: L Spike 3.640 1.040
+  term: M Bell 4.000 0.250 3.000
+  term: N PiShape 4.000 4.500 4.500 5.000
+  term: O Concave 5.650 6.250
+  term: P SigmoidDifference 4.750 10.000 30.000 5.250
+  term: Q SigmoidProduct 5.250 20.000 -10.000 5.750
+  term: R Ramp 5.500 6.500
+  term: S SShape 5.500 6.500
+  term: T Sigmoid 6.000 20.000
+OutputVariable: AllOutputTerms
+  enabled: true
+  range: 0.000 6.500
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: A Sigmoid 0.500 -20.000
+  term: B ZShape 0.000 1.000
+  term: C Ramp 1.000 0.000
+  term: D Triangle 0.500 1.000 1.500
+  term: E Trapezoid 1.000 1.250 1.750 2.000
+  term: F Concave 0.850 0.250
+  term: G Rectangle 1.750 2.250
+  term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000
+  term: I Gaussian 3.000 0.200
+  term: J Cosine 3.250 0.650
+  term: K GaussianProduct 3.500 0.100 3.300 0.300
+  term: L Spike 3.640 1.040
+  term: M Bell 4.000 0.250 3.000
+  term: N PiShape 4.000 4.500 4.500 5.000
+  term: O Concave 5.650 6.250
+  term: P SigmoidDifference 4.750 10.000 30.000 5.250
+  term: Q SigmoidProduct 5.250 20.000 -10.000 5.750
+  term: R Ramp 5.500 6.500
+  term: S SShape 5.500 6.500
+  term: T Sigmoid 6.000 20.000
+RuleBlock: 
+  enabled: true
+  conjunction: Minimum
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if AllInputTerms is A then AllOutputTerms is T
+  rule: if AllInputTerms is B then AllOutputTerms is S
+  rule: if AllInputTerms is C then AllOutputTerms is R
+  rule: if AllInputTerms is D then AllOutputTerms is Q
+  rule: if AllInputTerms is E then AllOutputTerms is P
+  rule: if AllInputTerms is F then AllOutputTerms is O
+  rule: if AllInputTerms is G then AllOutputTerms is N
+  rule: if AllInputTerms is H then AllOutputTerms is M
+  rule: if AllInputTerms is I then AllOutputTerms is L
+  rule: if AllInputTerms is J then AllOutputTerms is K
+  rule: if AllInputTerms is K then AllOutputTerms is J
+  rule: if AllInputTerms is L then AllOutputTerms is I
+  rule: if AllInputTerms is M then AllOutputTerms is H
+  rule: if AllInputTerms is N then AllOutputTerms is G
+  rule: if AllInputTerms is O then AllOutputTerms is F
+  rule: if AllInputTerms is P then AllOutputTerms is E
+  rule: if AllInputTerms is Q then AllOutputTerms is D
+  rule: if AllInputTerms is R then AllOutputTerms is C
+  rule: if AllInputTerms is S then AllOutputTerms is B
+  rule: if AllInputTerms is T then AllOutputTerms is A
\ No newline at end of file
diff --git a/examples/mamdani/AllTerms.java b/examples/mamdani/AllTerms.java
new file mode 100644
index 0000000..6d4651d
--- /dev/null
+++ b/examples/mamdani/AllTerms.java
@@ -0,0 +1,114 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class AllTerms{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("AllTerms");
+engine.setDescription("");
+
+InputVariable AllInputTerms = new InputVariable();
+AllInputTerms.setName("AllInputTerms");
+AllInputTerms.setDescription("");
+AllInputTerms.setEnabled(true);
+AllInputTerms.setRange(0.000, 6.500);
+AllInputTerms.setLockValueInRange(false);
+AllInputTerms.addTerm(new Sigmoid("A", 0.500, -20.000));
+AllInputTerms.addTerm(new ZShape("B", 0.000, 1.000));
+AllInputTerms.addTerm(new Ramp("C", 1.000, 0.000));
+AllInputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+AllInputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+AllInputTerms.addTerm(new Concave("F", 0.850, 0.250));
+AllInputTerms.addTerm(new Rectangle("G", 1.750, 2.250));
+AllInputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
+AllInputTerms.addTerm(new Gaussian("I", 3.000, 0.200));
+AllInputTerms.addTerm(new Cosine("J", 3.250, 0.650));
+AllInputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+AllInputTerms.addTerm(new Spike("L", 3.640, 1.040));
+AllInputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000));
+AllInputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+AllInputTerms.addTerm(new Concave("O", 5.650, 6.250));
+AllInputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+AllInputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+AllInputTerms.addTerm(new Ramp("R", 5.500, 6.500));
+AllInputTerms.addTerm(new SShape("S", 5.500, 6.500));
+AllInputTerms.addTerm(new Sigmoid("T", 6.000, 20.000));
+engine.addInputVariable(AllInputTerms);
+
+OutputVariable AllOutputTerms = new OutputVariable();
+AllOutputTerms.setName("AllOutputTerms");
+AllOutputTerms.setDescription("");
+AllOutputTerms.setEnabled(true);
+AllOutputTerms.setRange(0.000, 6.500);
+AllOutputTerms.setLockValueInRange(false);
+AllOutputTerms.setAggregation(new Maximum());
+AllOutputTerms.setDefuzzifier(new Centroid(200));
+AllOutputTerms.setDefaultValue(Double.NaN);
+AllOutputTerms.setLockPreviousValue(false);
+AllOutputTerms.addTerm(new Sigmoid("A", 0.500, -20.000));
+AllOutputTerms.addTerm(new ZShape("B", 0.000, 1.000));
+AllOutputTerms.addTerm(new Ramp("C", 1.000, 0.000));
+AllOutputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+AllOutputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+AllOutputTerms.addTerm(new Concave("F", 0.850, 0.250));
+AllOutputTerms.addTerm(new Rectangle("G", 1.750, 2.250));
+AllOutputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
+AllOutputTerms.addTerm(new Gaussian("I", 3.000, 0.200));
+AllOutputTerms.addTerm(new Cosine("J", 3.250, 0.650));
+AllOutputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+AllOutputTerms.addTerm(new Spike("L", 3.640, 1.040));
+AllOutputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000));
+AllOutputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+AllOutputTerms.addTerm(new Concave("O", 5.650, 6.250));
+AllOutputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+AllOutputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+AllOutputTerms.addTerm(new Ramp("R", 5.500, 6.500));
+AllOutputTerms.addTerm(new SShape("S", 5.500, 6.500));
+AllOutputTerms.addTerm(new Sigmoid("T", 6.000, 20.000));
+engine.addOutputVariable(AllOutputTerms);
+
+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 AllInputTerms is A then AllOutputTerms is T", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is B then AllOutputTerms is S", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is C then AllOutputTerms is R", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is D then AllOutputTerms is Q", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is E then AllOutputTerms is P", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is F then AllOutputTerms is O", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is G then AllOutputTerms is N", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is H then AllOutputTerms is M", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is I then AllOutputTerms is L", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is J then AllOutputTerms is K", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is K then AllOutputTerms is J", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is L then AllOutputTerms is I", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is M then AllOutputTerms is H", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is N then AllOutputTerms is G", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is O then AllOutputTerms is F", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is P then AllOutputTerms is E", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is Q then AllOutputTerms is D", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is R then AllOutputTerms is C", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is S then AllOutputTerms is B", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is T then AllOutputTerms is A", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/AllTerms.pdf b/examples/mamdani/AllTerms.pdf
new file mode 100644
index 0000000..ed71111
--- /dev/null
+++ b/examples/mamdani/AllTerms.pdf
diff --git a/examples/mamdani/Laundry.R b/examples/mamdani/Laundry.R
new file mode 100644
index 0000000..ca7d73d
--- /dev/null
+++ b/examples/mamdani/Laundry.R
@@ -0,0 +1,91 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "Laundry"
+engine.fll = "Engine: Laundry
+InputVariable: Load
+  enabled: true
+  range: 0.000 6.000
+  lock-range: false
+  term: small Discrete 0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000
+  term: normal Discrete 3.000 0.000 4.000 1.000 6.000 0.000
+InputVariable: Dirt
+  enabled: true
+  range: 0.000 6.000
+  lock-range: false
+  term: low Discrete 0.000 1.000 2.000 0.800 5.000 0.000
+  term: high Discrete 1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000
+OutputVariable: Detergent
+  enabled: true
+  range: 0.000 80.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: MeanOfMaximum 500
+  default: nan
+  lock-previous: false
+  term: less_than_usual Discrete 10.000 0.000 40.000 1.000 50.000 0.000
+  term: usual Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000
+  term: more_than_usual Discrete 50.000 0.000 80.000 1.000
+OutputVariable: Cycle
+  enabled: true
+  range: 0.000 20.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: MeanOfMaximum 500
+  default: nan
+  lock-previous: false
+  term: short Discrete 0.000 1.000 10.000 1.000 20.000 0.000
+  term: long Discrete 10.000 0.000 20.000 1.000
+RuleBlock: 
+  enabled: true
+  conjunction: Minimum
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if Load is small and Dirt is not high then Detergent is less_than_usual
+  rule: if Load is small and Dirt is high then  Detergent is usual
+  rule: if Load is normal and Dirt is low then Detergent is less_than_usual
+  rule: if Load is normal and Dirt is high then Detergent is more_than_usual
+  rule: if Detergent is usual  or Detergent is less_than_usual  then Cycle is short
+  rule: if Detergent is more_than_usual  then Cycle is long"
+
+engine.fldFile = "Laundry.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1i2_o1 = ggplot(engine.df, aes(Load, Dirt)) + 
+    geom_tile(aes(fill=Detergent)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Load, y=Dirt, z=Detergent), color="black") + 
+    ggtitle("(Load, Dirt) = Detergent")
+
+engine.plot.i2i1_o1 = ggplot(engine.df, aes(Dirt, Load)) + 
+    geom_tile(aes(fill=Detergent)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Dirt, y=Load, z=Detergent), color="black") + 
+    ggtitle("(Dirt, Load) = Detergent")
+
+engine.plot.i1i2_o2 = ggplot(engine.df, aes(Load, Dirt)) + 
+    geom_tile(aes(fill=Cycle)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Load, y=Dirt, z=Cycle), color="black") + 
+    ggtitle("(Load, Dirt) = Cycle")
+
+engine.plot.i2i1_o2 = ggplot(engine.df, aes(Dirt, Load)) + 
+    geom_tile(aes(fill=Cycle)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Dirt, y=Load, z=Cycle), color="black") + 
+    ggtitle("(Dirt, Load) = Cycle")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/Laundry.cpp b/examples/mamdani/Laundry.cpp
new file mode 100644
index 0000000..cc7492c
--- /dev/null
+++ b/examples/mamdani/Laundry.cpp
@@ -0,0 +1,78 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 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);
+
+
+}
diff --git a/examples/mamdani/Laundry.fcl b/examples/mamdani/Laundry.fcl
new file mode 100644
index 0000000..9a34532
--- /dev/null
+++ b/examples/mamdani/Laundry.fcl
@@ -0,0 +1,58 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK Laundry
+
+VAR_INPUT
+  Load: REAL;
+  Dirt: REAL;
+END_VAR
+
+VAR_OUTPUT
+  Detergent: REAL;
+  Cycle: REAL;
+END_VAR
+
+FUZZIFY Load
+  RANGE := (0.000 .. 6.000);
+  TERM small := (0.000, 1.000) (1.000, 1.000) (2.000, 0.800) (5.000, 0.000);
+  TERM normal := (3.000, 0.000) (4.000, 1.000) (6.000, 0.000);
+END_FUZZIFY
+
+FUZZIFY Dirt
+  RANGE := (0.000 .. 6.000);
+  TERM low := (0.000, 1.000) (2.000, 0.800) (5.000, 0.000);
+  TERM high := (1.000, 0.000) (2.000, 0.200) (4.000, 0.800) (6.000, 1.000);
+END_FUZZIFY
+
+DEFUZZIFY Detergent
+  RANGE := (0.000 .. 80.000);
+  TERM less_than_usual := (10.000, 0.000) (40.000, 1.000) (50.000, 0.000);
+  TERM usual := (40.000, 0.000) (50.000, 1.000) (60.000, 1.000) (80.000, 0.000);
+  TERM more_than_usual := (50.000, 0.000) (80.000, 1.000);
+  METHOD : MM;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+DEFUZZIFY Cycle
+  RANGE := (0.000 .. 20.000);
+  TERM short := (0.000, 1.000) (10.000, 1.000) (20.000, 0.000);
+  TERM long := (10.000, 0.000) (20.000, 1.000);
+  METHOD : MM;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  AND : MIN;
+  OR : MAX;
+  ACT : MIN;
+  RULE 1 : if Load is small and Dirt is not high then Detergent is less_than_usual
+  RULE 2 : if Load is small and Dirt is high then  Detergent is usual
+  RULE 3 : if Load is normal and Dirt is low then Detergent is less_than_usual
+  RULE 4 : if Load is normal and Dirt is high then Detergent is more_than_usual
+  RULE 5 : if Detergent is usual  or Detergent is less_than_usual  then Cycle is short
+  RULE 6 : if Detergent is more_than_usual  then Cycle is long
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/Laundry.fis b/examples/mamdani/Laundry.fis
new file mode 100644
index 0000000..7f1c31d
--- /dev/null
+++ b/examples/mamdani/Laundry.fis
@@ -0,0 +1,51 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='Laundry'
+Type='mamdani'
+Version=6.0
+NumInputs=2
+NumOutputs=2
+NumRules=6
+AndMethod='min'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='max'
+DefuzzMethod='mom'
+
+[Input1]
+Name='Load'
+Range=[0.000 6.000]
+NumMFs=2
+MF1='small':'discretemf',[0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000]
+MF2='normal':'discretemf',[3.000 0.000 4.000 1.000 6.000 0.000]
+
+[Input2]
+Name='Dirt'
+Range=[0.000 6.000]
+NumMFs=2
+MF1='low':'discretemf',[0.000 1.000 2.000 0.800 5.000 0.000]
+MF2='high':'discretemf',[1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000]
+
+[Output1]
+Name='Detergent'
+Range=[0.000 80.000]
+NumMFs=3
+MF1='less_than_usual':'discretemf',[10.000 0.000 40.000 1.000 50.000 0.000]
+MF2='usual':'discretemf',[40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000]
+MF3='more_than_usual':'discretemf',[50.000 0.000 80.000 1.000]
+
+[Output2]
+Name='Cycle'
+Range=[0.000 20.000]
+NumMFs=2
+MF1='short':'discretemf',[0.000 1.000 10.000 1.000 20.000 0.000]
+MF2='long':'discretemf',[10.000 0.000 20.000 1.000]
+
+[Rules]
+1.000 -2.000 , 1.000 0.000 (1.000) : 1
+1.000 2.000 , 2.000 0.000 (1.000) : 1
+2.000 1.000 , 1.000 0.000 (1.000) : 1
+2.000 2.000 , 3.000 0.000 (1.000) : 1
+0.000 0.000 , 0.000 1.000 (1.000) : 2
+0.000 0.000 , 0.000 2.000 (1.000) : 1
diff --git a/examples/mamdani/Laundry.fld b/examples/mamdani/Laundry.fld
new file mode 100644
index 0000000..a8f27dd
--- /dev/null
+++ b/examples/mamdani/Laundry.fld
@@ -0,0 +1,1025 @@
+Load Dirt Detergent Cycle
+0.000000000 0.000000000 39.920000000 5.000000000
+0.000000000 0.193548387 39.920000000 5.000000000
+0.000000000 0.387096774 39.920000000 5.000000000
+0.000000000 0.580645161 39.920000000 5.000000000
+0.000000000 0.774193548 39.920000000 5.000000000
+0.000000000 0.967741935 39.920000000 5.000000000
+0.000000000 1.161290323 39.680000000 5.160000000
+0.000000000 1.354838710 39.280000000 5.360000000
+0.000000000 1.548387097 38.880000000 5.540000000
+0.000000000 1.741935484 38.480000000 5.740000000
+0.000000000 1.935483871 38.160000000 5.940000000
+0.000000000 2.129032258 37.600000000 6.200000000
+0.000000000 2.322580645 37.040000000 6.480000000
+0.000000000 2.516129032 36.400000000 6.780000000
+0.000000000 2.709677419 35.920000000 7.060000000
+0.000000000 2.903225806 35.280000000 7.360000000
+0.000000000 3.096774194 57.360000000 7.360000000
+0.000000000 3.290322581 57.120000000 7.060000000
+0.000000000 3.483870968 56.720000000 6.780000000
+0.000000000 3.677419355 56.480000000 6.480000000
+0.000000000 3.870967742 56.240000000 6.200000000
+0.000000000 4.064516129 55.920000000 5.960000000
+0.000000000 4.258064516 55.920000000 5.880000000
+0.000000000 4.451612903 55.760000000 5.780000000
+0.000000000 4.645161290 55.680000000 5.680000000
+0.000000000 4.838709677 55.600000000 5.580000000
+0.000000000 5.032258065 55.440000000 5.480000000
+0.000000000 5.225806452 55.440000000 5.380000000
+0.000000000 5.419354839 55.280000000 5.300000000
+0.000000000 5.612903226 55.200000000 5.200000000
+0.000000000 5.806451613 55.040000000 5.100000000
+0.000000000 6.000000000 54.960000000 5.000000000
+0.193548387 0.000000000 39.920000000 5.000000000
+0.193548387 0.193548387 39.920000000 5.000000000
+0.193548387 0.387096774 39.920000000 5.000000000
+0.193548387 0.580645161 39.920000000 5.000000000
+0.193548387 0.774193548 39.920000000 5.000000000
+0.193548387 0.967741935 39.920000000 5.000000000
+0.193548387 1.161290323 39.680000000 5.160000000
+0.193548387 1.354838710 39.280000000 5.360000000
+0.193548387 1.548387097 38.880000000 5.540000000
+0.193548387 1.741935484 38.480000000 5.740000000
+0.193548387 1.935483871 38.160000000 5.940000000
+0.193548387 2.129032258 37.600000000 6.200000000
+0.193548387 2.322580645 37.040000000 6.480000000
+0.193548387 2.516129032 36.400000000 6.780000000
+0.193548387 2.709677419 35.920000000 7.060000000
+0.193548387 2.903225806 35.280000000 7.360000000
+0.193548387 3.096774194 57.360000000 7.360000000
+0.193548387 3.290322581 57.120000000 7.060000000
+0.193548387 3.483870968 56.720000000 6.780000000
+0.193548387 3.677419355 56.480000000 6.480000000
+0.193548387 3.870967742 56.240000000 6.200000000
+0.193548387 4.064516129 55.920000000 5.960000000
+0.193548387 4.258064516 55.920000000 5.880000000
+0.193548387 4.451612903 55.760000000 5.780000000
+0.193548387 4.645161290 55.680000000 5.680000000
+0.193548387 4.838709677 55.600000000 5.580000000
+0.193548387 5.032258065 55.440000000 5.480000000
+0.193548387 5.225806452 55.440000000 5.380000000
+0.193548387 5.419354839 55.280000000 5.300000000
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+6.000000000 5.032258065 nan nan
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+6.000000000 5.806451613 nan nan
+6.000000000 6.000000000 nan nan
diff --git a/examples/mamdani/Laundry.fll b/examples/mamdani/Laundry.fll
new file mode 100644
index 0000000..6abf2df
--- /dev/null
+++ b/examples/mamdani/Laundry.fll
@@ -0,0 +1,46 @@
+Engine: Laundry
+InputVariable: Load
+  enabled: true
+  range: 0.000 6.000
+  lock-range: false
+  term: small Discrete 0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000
+  term: normal Discrete 3.000 0.000 4.000 1.000 6.000 0.000
+InputVariable: Dirt
+  enabled: true
+  range: 0.000 6.000
+  lock-range: false
+  term: low Discrete 0.000 1.000 2.000 0.800 5.000 0.000
+  term: high Discrete 1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000
+OutputVariable: Detergent
+  enabled: true
+  range: 0.000 80.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: MeanOfMaximum 500
+  default: nan
+  lock-previous: false
+  term: less_than_usual Discrete 10.000 0.000 40.000 1.000 50.000 0.000
+  term: usual Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000
+  term: more_than_usual Discrete 50.000 0.000 80.000 1.000
+OutputVariable: Cycle
+  enabled: true
+  range: 0.000 20.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: MeanOfMaximum 500
+  default: nan
+  lock-previous: false
+  term: short Discrete 0.000 1.000 10.000 1.000 20.000 0.000
+  term: long Discrete 10.000 0.000 20.000 1.000
+RuleBlock: 
+  enabled: true
+  conjunction: Minimum
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if Load is small and Dirt is not high then Detergent is less_than_usual
+  rule: if Load is small and Dirt is high then  Detergent is usual
+  rule: if Load is normal and Dirt is low then Detergent is less_than_usual
+  rule: if Load is normal and Dirt is high then Detergent is more_than_usual
+  rule: if Detergent is usual  or Detergent is less_than_usual  then Cycle is short
+  rule: if Detergent is more_than_usual  then Cycle is long
\ No newline at end of file
diff --git a/examples/mamdani/Laundry.java b/examples/mamdani/Laundry.java
new file mode 100644
index 0000000..95cbe7c
--- /dev/null
+++ b/examples/mamdani/Laundry.java
@@ -0,0 +1,89 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class Laundry{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+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", 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000));
+Load.addTerm(Discrete.create("normal", 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", 0.000, 1.000, 2.000, 0.800, 5.000, 0.000));
+Dirt.addTerm(Discrete.create("high", 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(Double.NaN);
+Detergent.setLockPreviousValue(false);
+Detergent.addTerm(Discrete.create("less_than_usual", 10.000, 0.000, 40.000, 1.000, 50.000, 0.000));
+Detergent.addTerm(Discrete.create("usual", 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000));
+Detergent.addTerm(Discrete.create("more_than_usual", 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(Double.NaN);
+Cycle.setLockPreviousValue(false);
+Cycle.addTerm(Discrete.create("short", 0.000, 1.000, 10.000, 1.000, 20.000, 0.000));
+Cycle.addTerm(Discrete.create("long", 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);
+
+
+}
+}
diff --git a/examples/mamdani/Laundry.pdf b/examples/mamdani/Laundry.pdf
new file mode 100644
index 0000000..42df3cf
--- /dev/null
+++ b/examples/mamdani/Laundry.pdf
diff --git a/examples/mamdani/ObstacleAvoidance.R b/examples/mamdani/ObstacleAvoidance.R
new file mode 100644
index 0000000..5533d26
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.R
@@ -0,0 +1,57 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "ObstacleAvoidance"
+engine.fll = "Engine: ObstacleAvoidance
+InputVariable: obstacle
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: left Ramp 1.000 0.000
+  term: right Ramp 0.000 1.000
+OutputVariable: mSteer
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 100
+  default: nan
+  lock-previous: false
+  term: left Ramp 1.000 0.000
+  term: right Ramp 0.000 1.000
+RuleBlock: mamdani
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: AlgebraicProduct
+  activation: General
+  rule: if obstacle is left then mSteer is right
+  rule: if obstacle is right then mSteer is left"
+
+engine.fldFile = "ObstacleAvoidance.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1_o1 = ggplot(engine.df, aes(obstacle, mSteer)) + 
+    geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("obstacle vs mSteer")
+
+engine.plot.o1_i1 = ggplot(engine.df, aes(obstacle, mSteer)) + 
+    geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("mSteer vs obstacle")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/ObstacleAvoidance.cpp b/examples/mamdani/ObstacleAvoidance.cpp
new file mode 100644
index 0000000..341ffe5
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.cpp
@@ -0,0 +1,49 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("ObstacleAvoidance");
+engine->setDescription("");
+
+InputVariable* obstacle = new InputVariable;
+obstacle->setName("obstacle");
+obstacle->setDescription("");
+obstacle->setEnabled(true);
+obstacle->setRange(0.000, 1.000);
+obstacle->setLockValueInRange(false);
+obstacle->addTerm(new Ramp("left", 1.000, 0.000));
+obstacle->addTerm(new Ramp("right", 0.000, 1.000));
+engine->addInputVariable(obstacle);
+
+OutputVariable* mSteer = new OutputVariable;
+mSteer->setName("mSteer");
+mSteer->setDescription("");
+mSteer->setEnabled(true);
+mSteer->setRange(0.000, 1.000);
+mSteer->setLockValueInRange(false);
+mSteer->setAggregation(new Maximum);
+mSteer->setDefuzzifier(new Centroid(100));
+mSteer->setDefaultValue(fl::nan);
+mSteer->setLockPreviousValue(false);
+mSteer->addTerm(new Ramp("left", 1.000, 0.000));
+mSteer->addTerm(new Ramp("right", 0.000, 1.000));
+engine->addOutputVariable(mSteer);
+
+RuleBlock* mamdani = new RuleBlock;
+mamdani->setName("mamdani");
+mamdani->setDescription("");
+mamdani->setEnabled(true);
+mamdani->setConjunction(fl::null);
+mamdani->setDisjunction(fl::null);
+mamdani->setImplication(new AlgebraicProduct);
+mamdani->setActivation(new General);
+mamdani->addRule(Rule::parse("if obstacle is left then mSteer is right", engine));
+mamdani->addRule(Rule::parse("if obstacle is right then mSteer is left", engine));
+engine->addRuleBlock(mamdani);
+
+
+}
diff --git a/examples/mamdani/ObstacleAvoidance.fcl b/examples/mamdani/ObstacleAvoidance.fcl
new file mode 100644
index 0000000..1f2bac0
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.fcl
@@ -0,0 +1,34 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK ObstacleAvoidance
+
+VAR_INPUT
+  obstacle: REAL;
+END_VAR
+
+VAR_OUTPUT
+  mSteer: REAL;
+END_VAR
+
+FUZZIFY obstacle
+  RANGE := (0.000 .. 1.000);
+  TERM left := Ramp 1.000 0.000;
+  TERM right := Ramp 0.000 1.000;
+END_FUZZIFY
+
+DEFUZZIFY mSteer
+  RANGE := (0.000 .. 1.000);
+  TERM left := Ramp 1.000 0.000;
+  TERM right := Ramp 0.000 1.000;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK mamdani
+  ACT : PROD;
+  RULE 1 : if obstacle is left then mSteer is right
+  RULE 2 : if obstacle is right then mSteer is left
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/ObstacleAvoidance.fis b/examples/mamdani/ObstacleAvoidance.fis
new file mode 100644
index 0000000..f938ec0
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.fis
@@ -0,0 +1,32 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='ObstacleAvoidance'
+Type='mamdani'
+Version=6.0
+NumInputs=1
+NumOutputs=1
+NumRules=2
+AndMethod='min'
+OrMethod='max'
+ImpMethod='prod'
+AggMethod='max'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='obstacle'
+Range=[0.000 1.000]
+NumMFs=2
+MF1='left':'rampmf',[1.000 0.000]
+MF2='right':'rampmf',[0.000 1.000]
+
+[Output1]
+Name='mSteer'
+Range=[0.000 1.000]
+NumMFs=2
+MF1='left':'rampmf',[1.000 0.000]
+MF2='right':'rampmf',[0.000 1.000]
+
+[Rules]
+1.000 , 2.000 (1.000) : 1
+2.000 , 1.000 (1.000) : 1
diff --git a/examples/mamdani/ObstacleAvoidance.fld b/examples/mamdani/ObstacleAvoidance.fld
new file mode 100644
index 0000000..ec259dd
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.fld
@@ -0,0 +1,1025 @@
+obstacle mSteer
+0.000000000 0.666650000
+0.000977517 0.666650000
+0.001955034 0.666650000
+0.002932551 0.666650000
+0.003910068 0.666650000
+0.004887586 0.666650000
+0.005865103 0.666638485
+0.006842620 0.666625450
+0.007820137 0.666612389
+0.008797654 0.666599303
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+0.991202346 0.333400697
+0.992179863 0.333387611
+0.993157380 0.333374550
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+0.995112414 0.333350000
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+0.997067449 0.333350000
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+0.999022483 0.333350000
+1.000000000 0.333350000
diff --git a/examples/mamdani/ObstacleAvoidance.fll b/examples/mamdani/ObstacleAvoidance.fll
new file mode 100644
index 0000000..a47f1b4
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.fll
@@ -0,0 +1,25 @@
+Engine: ObstacleAvoidance
+InputVariable: obstacle
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: left Ramp 1.000 0.000
+  term: right Ramp 0.000 1.000
+OutputVariable: mSteer
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 100
+  default: nan
+  lock-previous: false
+  term: left Ramp 1.000 0.000
+  term: right Ramp 0.000 1.000
+RuleBlock: mamdani
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: AlgebraicProduct
+  activation: General
+  rule: if obstacle is left then mSteer is right
+  rule: if obstacle is right then mSteer is left
\ No newline at end of file
diff --git a/examples/mamdani/ObstacleAvoidance.java b/examples/mamdani/ObstacleAvoidance.java
new file mode 100644
index 0000000..8efef3b
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.java
@@ -0,0 +1,60 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class ObstacleAvoidance{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("ObstacleAvoidance");
+engine.setDescription("");
+
+InputVariable obstacle = new InputVariable();
+obstacle.setName("obstacle");
+obstacle.setDescription("");
+obstacle.setEnabled(true);
+obstacle.setRange(0.000, 1.000);
+obstacle.setLockValueInRange(false);
+obstacle.addTerm(new Ramp("left", 1.000, 0.000));
+obstacle.addTerm(new Ramp("right", 0.000, 1.000));
+engine.addInputVariable(obstacle);
+
+OutputVariable mSteer = new OutputVariable();
+mSteer.setName("mSteer");
+mSteer.setDescription("");
+mSteer.setEnabled(true);
+mSteer.setRange(0.000, 1.000);
+mSteer.setLockValueInRange(false);
+mSteer.setAggregation(new Maximum());
+mSteer.setDefuzzifier(new Centroid(100));
+mSteer.setDefaultValue(Double.NaN);
+mSteer.setLockPreviousValue(false);
+mSteer.addTerm(new Ramp("left", 1.000, 0.000));
+mSteer.addTerm(new Ramp("right", 0.000, 1.000));
+engine.addOutputVariable(mSteer);
+
+RuleBlock mamdani = new RuleBlock();
+mamdani.setName("mamdani");
+mamdani.setDescription("");
+mamdani.setEnabled(true);
+mamdani.setConjunction(null);
+mamdani.setDisjunction(null);
+mamdani.setImplication(new AlgebraicProduct());
+mamdani.setActivation(new General());
+mamdani.addRule(Rule.parse("if obstacle is left then mSteer is right", engine));
+mamdani.addRule(Rule.parse("if obstacle is right then mSteer is left", engine));
+engine.addRuleBlock(mamdani);
+
+
+}
+}
diff --git a/examples/mamdani/ObstacleAvoidance.pdf b/examples/mamdani/ObstacleAvoidance.pdf
new file mode 100644
index 0000000..63e1fe9
--- /dev/null
+++ b/examples/mamdani/ObstacleAvoidance.pdf
diff --git a/examples/mamdani/SimpleDimmer.R b/examples/mamdani/SimpleDimmer.R
new file mode 100644
index 0000000..77a60f3
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.R
@@ -0,0 +1,60 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "SimpleDimmer"
+engine.fll = "Engine: SimpleDimmer
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW"
+
+engine.fldFile = "SimpleDimmer.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("Ambient vs Power")
+
+engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("Power vs Ambient")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/SimpleDimmer.cpp b/examples/mamdani/SimpleDimmer.cpp
new file mode 100644
index 0000000..7cd5e73
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.cpp
@@ -0,0 +1,52 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("SimpleDimmer");
+engine->setDescription("");
+
+InputVariable* Ambient = new InputVariable;
+Ambient->setName("Ambient");
+Ambient->setDescription("");
+Ambient->setEnabled(true);
+Ambient->setRange(0.000, 1.000);
+Ambient->setLockValueInRange(false);
+Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine->addInputVariable(Ambient);
+
+OutputVariable* Power = new OutputVariable;
+Power->setName("Power");
+Power->setDescription("");
+Power->setEnabled(true);
+Power->setRange(0.000, 1.000);
+Power->setLockValueInRange(false);
+Power->setAggregation(new Maximum);
+Power->setDefuzzifier(new Centroid(200));
+Power->setDefaultValue(fl::nan);
+Power->setLockPreviousValue(false);
+Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine->addOutputVariable(Power);
+
+RuleBlock* ruleBlock = new RuleBlock;
+ruleBlock->setName("");
+ruleBlock->setDescription("");
+ruleBlock->setEnabled(true);
+ruleBlock->setConjunction(fl::null);
+ruleBlock->setDisjunction(fl::null);
+ruleBlock->setImplication(new Minimum);
+ruleBlock->setActivation(new General);
+ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/SimpleDimmer.fcl b/examples/mamdani/SimpleDimmer.fcl
new file mode 100644
index 0000000..104990a
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.fcl
@@ -0,0 +1,37 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK SimpleDimmer
+
+VAR_INPUT
+  Ambient: REAL;
+END_VAR
+
+VAR_OUTPUT
+  Power: REAL;
+END_VAR
+
+FUZZIFY Ambient
+  RANGE := (0.000 .. 1.000);
+  TERM DARK := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM BRIGHT := Triangle 0.500 0.750 1.000;
+END_FUZZIFY
+
+DEFUZZIFY Power
+  RANGE := (0.000 .. 1.000);
+  TERM LOW := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM HIGH := Triangle 0.500 0.750 1.000;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  ACT : MIN;
+  RULE 1 : if Ambient is DARK then Power is HIGH
+  RULE 2 : if Ambient is MEDIUM then Power is MEDIUM
+  RULE 3 : if Ambient is BRIGHT then Power is LOW
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/SimpleDimmer.fis b/examples/mamdani/SimpleDimmer.fis
new file mode 100644
index 0000000..3435060
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.fis
@@ -0,0 +1,35 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='SimpleDimmer'
+Type='mamdani'
+Version=6.0
+NumInputs=1
+NumOutputs=1
+NumRules=3
+AndMethod='min'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='max'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='Ambient'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='DARK':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='BRIGHT':'trimf',[0.500 0.750 1.000]
+
+[Output1]
+Name='Power'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='LOW':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='HIGH':'trimf',[0.500 0.750 1.000]
+
+[Rules]
+1.000 , 3.000 (1.000) : 1
+2.000 , 2.000 (1.000) : 1
+3.000 , 1.000 (1.000) : 1
diff --git a/examples/mamdani/SimpleDimmer.fld b/examples/mamdani/SimpleDimmer.fld
new file mode 100644
index 0000000..bd4dc51
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.fld
@@ -0,0 +1,1025 @@
+Ambient Power
+0.000000000 nan
+0.000977517 0.750000000
+0.001955034 0.750000000
+0.002932551 0.750000000
+0.003910068 0.750000000
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+1.000000000 nan
diff --git a/examples/mamdani/SimpleDimmer.fll b/examples/mamdani/SimpleDimmer.fll
new file mode 100644
index 0000000..896bebf
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.fll
@@ -0,0 +1,28 @@
+Engine: SimpleDimmer
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW
\ No newline at end of file
diff --git a/examples/mamdani/SimpleDimmer.java b/examples/mamdani/SimpleDimmer.java
new file mode 100644
index 0000000..d7b127d
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.java
@@ -0,0 +1,63 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class SimpleDimmer{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("SimpleDimmer");
+engine.setDescription("");
+
+InputVariable Ambient = new InputVariable();
+Ambient.setName("Ambient");
+Ambient.setDescription("");
+Ambient.setEnabled(true);
+Ambient.setRange(0.000, 1.000);
+Ambient.setLockValueInRange(false);
+Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine.addInputVariable(Ambient);
+
+OutputVariable Power = new OutputVariable();
+Power.setName("Power");
+Power.setDescription("");
+Power.setEnabled(true);
+Power.setRange(0.000, 1.000);
+Power.setLockValueInRange(false);
+Power.setAggregation(new Maximum());
+Power.setDefuzzifier(new Centroid(200));
+Power.setDefaultValue(Double.NaN);
+Power.setLockPreviousValue(false);
+Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine.addOutputVariable(Power);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(null);
+ruleBlock.setDisjunction(null);
+ruleBlock.setImplication(new Minimum());
+ruleBlock.setActivation(new General());
+ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/SimpleDimmer.pdf b/examples/mamdani/SimpleDimmer.pdf
new file mode 100644
index 0000000..82ef82f
--- /dev/null
+++ b/examples/mamdani/SimpleDimmer.pdf
diff --git a/examples/mamdani/SimpleDimmerChained.R b/examples/mamdani/SimpleDimmerChained.R
new file mode 100644
index 0000000..323aa7d
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.R
@@ -0,0 +1,85 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "SimpleDimmerChained"
+engine.fll = "Engine: SimpleDimmerChained
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+OutputVariable: InversePower
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 500
+  default: nan
+  lock-previous: false
+  term: LOW Cosine 0.200 0.500
+  term: MEDIUM Cosine 0.500 0.500
+  term: HIGH Cosine 0.800 0.500
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW
+  rule: if Power is LOW then InversePower is HIGH
+  rule: if Power is MEDIUM then InversePower is MEDIUM
+  rule: if Power is HIGH then InversePower is LOW"
+
+engine.fldFile = "SimpleDimmerChained.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("Ambient vs Power")
+
+engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("Power vs Ambient")
+
+engine.plot.i1_o2 = ggplot(engine.df, aes(Ambient, InversePower)) + 
+    geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("Ambient vs InversePower")
+
+engine.plot.o2_i1 = ggplot(engine.df, aes(Ambient, InversePower)) + 
+    geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("InversePower vs Ambient")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/SimpleDimmerChained.cpp b/examples/mamdani/SimpleDimmerChained.cpp
new file mode 100644
index 0000000..bc59c8e
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.cpp
@@ -0,0 +1,70 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("SimpleDimmerChained");
+engine->setDescription("");
+
+InputVariable* Ambient = new InputVariable;
+Ambient->setName("Ambient");
+Ambient->setDescription("");
+Ambient->setEnabled(true);
+Ambient->setRange(0.000, 1.000);
+Ambient->setLockValueInRange(false);
+Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine->addInputVariable(Ambient);
+
+OutputVariable* Power = new OutputVariable;
+Power->setName("Power");
+Power->setDescription("");
+Power->setEnabled(true);
+Power->setRange(0.000, 1.000);
+Power->setLockValueInRange(false);
+Power->setAggregation(new Maximum);
+Power->setDefuzzifier(new Centroid(200));
+Power->setDefaultValue(fl::nan);
+Power->setLockPreviousValue(false);
+Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine->addOutputVariable(Power);
+
+OutputVariable* InversePower = new OutputVariable;
+InversePower->setName("InversePower");
+InversePower->setDescription("");
+InversePower->setEnabled(true);
+InversePower->setRange(0.000, 1.000);
+InversePower->setLockValueInRange(false);
+InversePower->setAggregation(new Maximum);
+InversePower->setDefuzzifier(new Centroid(500));
+InversePower->setDefaultValue(fl::nan);
+InversePower->setLockPreviousValue(false);
+InversePower->addTerm(new Cosine("LOW", 0.200, 0.500));
+InversePower->addTerm(new Cosine("MEDIUM", 0.500, 0.500));
+InversePower->addTerm(new Cosine("HIGH", 0.800, 0.500));
+engine->addOutputVariable(InversePower);
+
+RuleBlock* ruleBlock = new RuleBlock;
+ruleBlock->setName("");
+ruleBlock->setDescription("");
+ruleBlock->setEnabled(true);
+ruleBlock->setConjunction(fl::null);
+ruleBlock->setDisjunction(fl::null);
+ruleBlock->setImplication(new Minimum);
+ruleBlock->setActivation(new General);
+ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine));
+ruleBlock->addRule(Rule::parse("if Power is LOW then InversePower is HIGH", engine));
+ruleBlock->addRule(Rule::parse("if Power is MEDIUM then InversePower is MEDIUM", engine));
+ruleBlock->addRule(Rule::parse("if Power is HIGH then InversePower is LOW", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/SimpleDimmerChained.fcl b/examples/mamdani/SimpleDimmerChained.fcl
new file mode 100644
index 0000000..29bb4ea
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.fcl
@@ -0,0 +1,51 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK SimpleDimmerChained
+
+VAR_INPUT
+  Ambient: REAL;
+END_VAR
+
+VAR_OUTPUT
+  Power: REAL;
+  InversePower: REAL;
+END_VAR
+
+FUZZIFY Ambient
+  RANGE := (0.000 .. 1.000);
+  TERM DARK := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM BRIGHT := Triangle 0.500 0.750 1.000;
+END_FUZZIFY
+
+DEFUZZIFY Power
+  RANGE := (0.000 .. 1.000);
+  TERM LOW := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM HIGH := Triangle 0.500 0.750 1.000;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+DEFUZZIFY InversePower
+  RANGE := (0.000 .. 1.000);
+  TERM LOW := Cosine 0.200 0.500;
+  TERM MEDIUM := Cosine 0.500 0.500;
+  TERM HIGH := Cosine 0.800 0.500;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  ACT : MIN;
+  RULE 1 : if Ambient is DARK then Power is HIGH
+  RULE 2 : if Ambient is MEDIUM then Power is MEDIUM
+  RULE 3 : if Ambient is BRIGHT then Power is LOW
+  RULE 4 : if Power is LOW then InversePower is HIGH
+  RULE 5 : if Power is MEDIUM then InversePower is MEDIUM
+  RULE 6 : if Power is HIGH then InversePower is LOW
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/SimpleDimmerChained.fis b/examples/mamdani/SimpleDimmerChained.fis
new file mode 100644
index 0000000..c2fc642
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.fis
@@ -0,0 +1,46 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='SimpleDimmerChained'
+Type='mamdani'
+Version=6.0
+NumInputs=1
+NumOutputs=2
+NumRules=6
+AndMethod='min'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='max'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='Ambient'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='DARK':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='BRIGHT':'trimf',[0.500 0.750 1.000]
+
+[Output1]
+Name='Power'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='LOW':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='HIGH':'trimf',[0.500 0.750 1.000]
+
+[Output2]
+Name='InversePower'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='LOW':'cosinemf',[0.200 0.500]
+MF2='MEDIUM':'cosinemf',[0.500 0.500]
+MF3='HIGH':'cosinemf',[0.800 0.500]
+
+[Rules]
+1.000 , 3.000 0.000 (1.000) : 1
+2.000 , 2.000 0.000 (1.000) : 1
+3.000 , 1.000 0.000 (1.000) : 1
+0.000 , 0.000 3.000 (1.000) : 1
+0.000 , 0.000 2.000 (1.000) : 1
+0.000 , 0.000 1.000 (1.000) : 1
diff --git a/examples/mamdani/SimpleDimmerChained.fld b/examples/mamdani/SimpleDimmerChained.fld
new file mode 100644
index 0000000..843c017
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.fld
@@ -0,0 +1,1025 @@
+Ambient Power InversePower
+0.000000000 nan nan
+0.000977517 0.750000000 0.221671502
+0.001955034 0.750000000 0.220306607
+0.002932551 0.750000000 0.219272108
+0.003910068 0.750000000 0.218372593
+0.004887586 0.750000000 0.217595038
+0.005865103 0.750000000 0.216891736
+0.006842620 0.750000000 0.216242049
+0.007820137 0.750000000 0.215635499
+0.008797654 0.750000000 0.215066121
+0.009775171 0.750000000 0.214530188
+0.010752688 0.750000000 0.214025192
+0.011730205 0.750000000 0.213535928
+0.012707722 0.750000000 0.213059653
+0.013685239 0.750000000 0.212609497
+0.014662757 0.750000000 0.212181500
+0.015640274 0.750000000 0.211749797
+0.016617791 0.750000000 0.211342499
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+1.000000000 nan nan
diff --git a/examples/mamdani/SimpleDimmerChained.fll b/examples/mamdani/SimpleDimmerChained.fll
new file mode 100644
index 0000000..02b35cc
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.fll
@@ -0,0 +1,42 @@
+Engine: SimpleDimmerChained
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+OutputVariable: InversePower
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 500
+  default: nan
+  lock-previous: false
+  term: LOW Cosine 0.200 0.500
+  term: MEDIUM Cosine 0.500 0.500
+  term: HIGH Cosine 0.800 0.500
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW
+  rule: if Power is LOW then InversePower is HIGH
+  rule: if Power is MEDIUM then InversePower is MEDIUM
+  rule: if Power is HIGH then InversePower is LOW
\ No newline at end of file
diff --git a/examples/mamdani/SimpleDimmerChained.java b/examples/mamdani/SimpleDimmerChained.java
new file mode 100644
index 0000000..a7c28c6
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.java
@@ -0,0 +1,81 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class SimpleDimmerChained{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("SimpleDimmerChained");
+engine.setDescription("");
+
+InputVariable Ambient = new InputVariable();
+Ambient.setName("Ambient");
+Ambient.setDescription("");
+Ambient.setEnabled(true);
+Ambient.setRange(0.000, 1.000);
+Ambient.setLockValueInRange(false);
+Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine.addInputVariable(Ambient);
+
+OutputVariable Power = new OutputVariable();
+Power.setName("Power");
+Power.setDescription("");
+Power.setEnabled(true);
+Power.setRange(0.000, 1.000);
+Power.setLockValueInRange(false);
+Power.setAggregation(new Maximum());
+Power.setDefuzzifier(new Centroid(200));
+Power.setDefaultValue(Double.NaN);
+Power.setLockPreviousValue(false);
+Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine.addOutputVariable(Power);
+
+OutputVariable InversePower = new OutputVariable();
+InversePower.setName("InversePower");
+InversePower.setDescription("");
+InversePower.setEnabled(true);
+InversePower.setRange(0.000, 1.000);
+InversePower.setLockValueInRange(false);
+InversePower.setAggregation(new Maximum());
+InversePower.setDefuzzifier(new Centroid(500));
+InversePower.setDefaultValue(Double.NaN);
+InversePower.setLockPreviousValue(false);
+InversePower.addTerm(new Cosine("LOW", 0.200, 0.500));
+InversePower.addTerm(new Cosine("MEDIUM", 0.500, 0.500));
+InversePower.addTerm(new Cosine("HIGH", 0.800, 0.500));
+engine.addOutputVariable(InversePower);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(null);
+ruleBlock.setDisjunction(null);
+ruleBlock.setImplication(new Minimum());
+ruleBlock.setActivation(new General());
+ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine));
+ruleBlock.addRule(Rule.parse("if Power is LOW then InversePower is HIGH", engine));
+ruleBlock.addRule(Rule.parse("if Power is MEDIUM then InversePower is MEDIUM", engine));
+ruleBlock.addRule(Rule.parse("if Power is HIGH then InversePower is LOW", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/SimpleDimmerChained.pdf b/examples/mamdani/SimpleDimmerChained.pdf
new file mode 100644
index 0000000..bc22cfa
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerChained.pdf
diff --git a/examples/mamdani/SimpleDimmerInverse.R b/examples/mamdani/SimpleDimmerInverse.R
new file mode 100644
index 0000000..358916d
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.R
@@ -0,0 +1,85 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "SimpleDimmerInverse"
+engine.fll = "Engine: SimpleDimmerInverse
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+OutputVariable: InversePower
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 500
+  default: nan
+  lock-previous: false
+  term: LOW Cosine 0.200 0.500
+  term: MEDIUM Cosine 0.500 0.500
+  term: HIGH Cosine 0.800 0.500
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW
+  rule: if Power is LOW then InversePower is HIGH
+  rule: if Power is MEDIUM then InversePower is MEDIUM
+  rule: if Power is HIGH then InversePower is LOW"
+
+engine.fldFile = "SimpleDimmerInverse.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("Ambient vs Power")
+
+engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + 
+    geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("Power vs Ambient")
+
+engine.plot.i1_o2 = ggplot(engine.df, aes(Ambient, InversePower)) + 
+    geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    ggtitle("Ambient vs InversePower")
+
+engine.plot.o2_i1 = ggplot(engine.df, aes(Ambient, InversePower)) + 
+    geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + 
+    scale_color_gradient(low="yellow", high="red") + 
+    coord_flip() + 
+    ggtitle("InversePower vs Ambient")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/SimpleDimmerInverse.cpp b/examples/mamdani/SimpleDimmerInverse.cpp
new file mode 100644
index 0000000..1c22275
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.cpp
@@ -0,0 +1,70 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("SimpleDimmerInverse");
+engine->setDescription("");
+
+InputVariable* Ambient = new InputVariable;
+Ambient->setName("Ambient");
+Ambient->setDescription("");
+Ambient->setEnabled(true);
+Ambient->setRange(0.000, 1.000);
+Ambient->setLockValueInRange(false);
+Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine->addInputVariable(Ambient);
+
+OutputVariable* Power = new OutputVariable;
+Power->setName("Power");
+Power->setDescription("");
+Power->setEnabled(true);
+Power->setRange(0.000, 1.000);
+Power->setLockValueInRange(false);
+Power->setAggregation(new Maximum);
+Power->setDefuzzifier(new Centroid(200));
+Power->setDefaultValue(fl::nan);
+Power->setLockPreviousValue(false);
+Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine->addOutputVariable(Power);
+
+OutputVariable* InversePower = new OutputVariable;
+InversePower->setName("InversePower");
+InversePower->setDescription("");
+InversePower->setEnabled(true);
+InversePower->setRange(0.000, 1.000);
+InversePower->setLockValueInRange(false);
+InversePower->setAggregation(new Maximum);
+InversePower->setDefuzzifier(new Centroid(500));
+InversePower->setDefaultValue(fl::nan);
+InversePower->setLockPreviousValue(false);
+InversePower->addTerm(new Cosine("LOW", 0.200, 0.500));
+InversePower->addTerm(new Cosine("MEDIUM", 0.500, 0.500));
+InversePower->addTerm(new Cosine("HIGH", 0.800, 0.500));
+engine->addOutputVariable(InversePower);
+
+RuleBlock* ruleBlock = new RuleBlock;
+ruleBlock->setName("");
+ruleBlock->setDescription("");
+ruleBlock->setEnabled(true);
+ruleBlock->setConjunction(fl::null);
+ruleBlock->setDisjunction(fl::null);
+ruleBlock->setImplication(new Minimum);
+ruleBlock->setActivation(new General);
+ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine));
+ruleBlock->addRule(Rule::parse("if Power is LOW then InversePower is HIGH", engine));
+ruleBlock->addRule(Rule::parse("if Power is MEDIUM then InversePower is MEDIUM", engine));
+ruleBlock->addRule(Rule::parse("if Power is HIGH then InversePower is LOW", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/SimpleDimmerInverse.fcl b/examples/mamdani/SimpleDimmerInverse.fcl
new file mode 100644
index 0000000..d8043d3
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.fcl
@@ -0,0 +1,51 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK SimpleDimmerInverse
+
+VAR_INPUT
+  Ambient: REAL;
+END_VAR
+
+VAR_OUTPUT
+  Power: REAL;
+  InversePower: REAL;
+END_VAR
+
+FUZZIFY Ambient
+  RANGE := (0.000 .. 1.000);
+  TERM DARK := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM BRIGHT := Triangle 0.500 0.750 1.000;
+END_FUZZIFY
+
+DEFUZZIFY Power
+  RANGE := (0.000 .. 1.000);
+  TERM LOW := Triangle 0.000 0.250 0.500;
+  TERM MEDIUM := Triangle 0.250 0.500 0.750;
+  TERM HIGH := Triangle 0.500 0.750 1.000;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+DEFUZZIFY InversePower
+  RANGE := (0.000 .. 1.000);
+  TERM LOW := Cosine 0.200 0.500;
+  TERM MEDIUM := Cosine 0.500 0.500;
+  TERM HIGH := Cosine 0.800 0.500;
+  METHOD : COG;
+  ACCU : MAX;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  ACT : MIN;
+  RULE 1 : if Ambient is DARK then Power is HIGH
+  RULE 2 : if Ambient is MEDIUM then Power is MEDIUM
+  RULE 3 : if Ambient is BRIGHT then Power is LOW
+  RULE 4 : if Power is LOW then InversePower is HIGH
+  RULE 5 : if Power is MEDIUM then InversePower is MEDIUM
+  RULE 6 : if Power is HIGH then InversePower is LOW
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/SimpleDimmerInverse.fis b/examples/mamdani/SimpleDimmerInverse.fis
new file mode 100644
index 0000000..b044014
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.fis
@@ -0,0 +1,46 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='SimpleDimmerInverse'
+Type='mamdani'
+Version=6.0
+NumInputs=1
+NumOutputs=2
+NumRules=6
+AndMethod='min'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='max'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='Ambient'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='DARK':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='BRIGHT':'trimf',[0.500 0.750 1.000]
+
+[Output1]
+Name='Power'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='LOW':'trimf',[0.000 0.250 0.500]
+MF2='MEDIUM':'trimf',[0.250 0.500 0.750]
+MF3='HIGH':'trimf',[0.500 0.750 1.000]
+
+[Output2]
+Name='InversePower'
+Range=[0.000 1.000]
+NumMFs=3
+MF1='LOW':'cosinemf',[0.200 0.500]
+MF2='MEDIUM':'cosinemf',[0.500 0.500]
+MF3='HIGH':'cosinemf',[0.800 0.500]
+
+[Rules]
+1.000 , 3.000 0.000 (1.000) : 1
+2.000 , 2.000 0.000 (1.000) : 1
+3.000 , 1.000 0.000 (1.000) : 1
+0.000 , 0.000 3.000 (1.000) : 1
+0.000 , 0.000 2.000 (1.000) : 1
+0.000 , 0.000 1.000 (1.000) : 1
diff --git a/examples/mamdani/SimpleDimmerInverse.fld b/examples/mamdani/SimpleDimmerInverse.fld
new file mode 100644
index 0000000..843c017
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.fld
@@ -0,0 +1,1025 @@
+Ambient Power InversePower
+0.000000000 nan nan
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+0.999022483 0.250000000 0.778328498
+1.000000000 nan nan
diff --git a/examples/mamdani/SimpleDimmerInverse.fll b/examples/mamdani/SimpleDimmerInverse.fll
new file mode 100644
index 0000000..4ce7313
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.fll
@@ -0,0 +1,42 @@
+Engine: SimpleDimmerInverse
+InputVariable: Ambient
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  term: DARK Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: BRIGHT Triangle 0.500 0.750 1.000
+OutputVariable: Power
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: LOW Triangle 0.000 0.250 0.500
+  term: MEDIUM Triangle 0.250 0.500 0.750
+  term: HIGH Triangle 0.500 0.750 1.000
+OutputVariable: InversePower
+  enabled: true
+  range: 0.000 1.000
+  lock-range: false
+  aggregation: Maximum
+  defuzzifier: Centroid 500
+  default: nan
+  lock-previous: false
+  term: LOW Cosine 0.200 0.500
+  term: MEDIUM Cosine 0.500 0.500
+  term: HIGH Cosine 0.800 0.500
+RuleBlock: 
+  enabled: true
+  conjunction: none
+  disjunction: none
+  implication: Minimum
+  activation: General
+  rule: if Ambient is DARK then Power is HIGH
+  rule: if Ambient is MEDIUM then Power is MEDIUM
+  rule: if Ambient is BRIGHT then Power is LOW
+  rule: if Power is LOW then InversePower is HIGH
+  rule: if Power is MEDIUM then InversePower is MEDIUM
+  rule: if Power is HIGH then InversePower is LOW
\ No newline at end of file
diff --git a/examples/mamdani/SimpleDimmerInverse.java b/examples/mamdani/SimpleDimmerInverse.java
new file mode 100644
index 0000000..218f831
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.java
@@ -0,0 +1,81 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class SimpleDimmerInverse{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("SimpleDimmerInverse");
+engine.setDescription("");
+
+InputVariable Ambient = new InputVariable();
+Ambient.setName("Ambient");
+Ambient.setDescription("");
+Ambient.setEnabled(true);
+Ambient.setRange(0.000, 1.000);
+Ambient.setLockValueInRange(false);
+Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500));
+Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000));
+engine.addInputVariable(Ambient);
+
+OutputVariable Power = new OutputVariable();
+Power.setName("Power");
+Power.setDescription("");
+Power.setEnabled(true);
+Power.setRange(0.000, 1.000);
+Power.setLockValueInRange(false);
+Power.setAggregation(new Maximum());
+Power.setDefuzzifier(new Centroid(200));
+Power.setDefaultValue(Double.NaN);
+Power.setLockPreviousValue(false);
+Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500));
+Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750));
+Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000));
+engine.addOutputVariable(Power);
+
+OutputVariable InversePower = new OutputVariable();
+InversePower.setName("InversePower");
+InversePower.setDescription("");
+InversePower.setEnabled(true);
+InversePower.setRange(0.000, 1.000);
+InversePower.setLockValueInRange(false);
+InversePower.setAggregation(new Maximum());
+InversePower.setDefuzzifier(new Centroid(500));
+InversePower.setDefaultValue(Double.NaN);
+InversePower.setLockPreviousValue(false);
+InversePower.addTerm(new Cosine("LOW", 0.200, 0.500));
+InversePower.addTerm(new Cosine("MEDIUM", 0.500, 0.500));
+InversePower.addTerm(new Cosine("HIGH", 0.800, 0.500));
+engine.addOutputVariable(InversePower);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(null);
+ruleBlock.setDisjunction(null);
+ruleBlock.setImplication(new Minimum());
+ruleBlock.setActivation(new General());
+ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine));
+ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine));
+ruleBlock.addRule(Rule.parse("if Power is LOW then InversePower is HIGH", engine));
+ruleBlock.addRule(Rule.parse("if Power is MEDIUM then InversePower is MEDIUM", engine));
+ruleBlock.addRule(Rule.parse("if Power is HIGH then InversePower is LOW", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/SimpleDimmerInverse.pdf b/examples/mamdani/SimpleDimmerInverse.pdf
new file mode 100644
index 0000000..0cfb26d
--- /dev/null
+++ b/examples/mamdani/SimpleDimmerInverse.pdf
diff --git a/examples/mamdani/octave/COPYING b/examples/mamdani/octave/COPYING
new file mode 100644
index 0000000..94a9ed0
--- /dev/null
+++ b/examples/mamdani/octave/COPYING
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
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diff --git a/examples/mamdani/octave/DESCRIPTION b/examples/mamdani/octave/DESCRIPTION
new file mode 100644
index 0000000..35df57d
--- /dev/null
+++ b/examples/mamdani/octave/DESCRIPTION
@@ -0,0 +1,12 @@
+Name: fuzzy-logic-toolkit
+Version: 0.4.2
+Date: 2012-10-02
+Author: L. Markowsky <lmarkov@users.sourceforge.net>
+Maintainer: L. Markowsky <lmarkov@users.sourceforge.net>
+Title: Octave Fuzzy Logic Toolkit
+Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave.
+Depends: octave (>= 3.2.4)
+Autoload: no
+License: GPLv3+
+Url: http://octave.sf.net
+ http://sf.net/projects/octave-fuzzy
diff --git a/examples/mamdani/octave/investment_portfolio.R b/examples/mamdani/octave/investment_portfolio.R
new file mode 100644
index 0000000..c752dab
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.R
@@ -0,0 +1,67 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "investment_portfolio"
+engine.fll = "Engine: investment_portfolio
+InputVariable: Age
+  enabled: true
+  range: 20.000 100.000
+  lock-range: false
+  term: Young ZShape 30.000 90.000
+  term: Old SShape 30.000 90.000
+InputVariable: RiskTolerance
+  enabled: true
+  range: 0.000 10.000
+  lock-range: false
+  term: Low ZShape 2.000 8.000
+  term: High SShape 2.000 8.000
+OutputVariable: PercentageInStocks
+  enabled: true
+  range: 0.000 100.000
+  lock-range: false
+  aggregation: EinsteinSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: AboutFifteen Gaussian 15.000 10.000
+  term: AboutFifty Gaussian 50.000 10.000
+  term: AboutEightyFive Gaussian 85.000 10.000
+RuleBlock: 
+  enabled: true
+  conjunction: EinsteinProduct
+  disjunction: EinsteinSum
+  implication: EinsteinProduct
+  activation: General
+  rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive
+  rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen
+  rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500
+  rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500"
+
+engine.fldFile = "investment_portfolio.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1i2_o1 = ggplot(engine.df, aes(Age, RiskTolerance)) + 
+    geom_tile(aes(fill=PercentageInStocks)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Age, y=RiskTolerance, z=PercentageInStocks), color="black") + 
+    ggtitle("(Age, RiskTolerance) = PercentageInStocks")
+
+engine.plot.i2i1_o1 = ggplot(engine.df, aes(RiskTolerance, Age)) + 
+    geom_tile(aes(fill=PercentageInStocks)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=RiskTolerance, y=Age, z=PercentageInStocks), color="black") + 
+    ggtitle("(RiskTolerance, Age) = PercentageInStocks")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/octave/investment_portfolio.cpp b/examples/mamdani/octave/investment_portfolio.cpp
new file mode 100644
index 0000000..2b82b8c
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.cpp
@@ -0,0 +1,62 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("investment_portfolio");
+engine->setDescription("");
+
+InputVariable* Age = new InputVariable;
+Age->setName("Age");
+Age->setDescription("");
+Age->setEnabled(true);
+Age->setRange(20.000, 100.000);
+Age->setLockValueInRange(false);
+Age->addTerm(new ZShape("Young", 30.000, 90.000));
+Age->addTerm(new SShape("Old", 30.000, 90.000));
+engine->addInputVariable(Age);
+
+InputVariable* RiskTolerance = new InputVariable;
+RiskTolerance->setName("RiskTolerance");
+RiskTolerance->setDescription("");
+RiskTolerance->setEnabled(true);
+RiskTolerance->setRange(0.000, 10.000);
+RiskTolerance->setLockValueInRange(false);
+RiskTolerance->addTerm(new ZShape("Low", 2.000, 8.000));
+RiskTolerance->addTerm(new SShape("High", 2.000, 8.000));
+engine->addInputVariable(RiskTolerance);
+
+OutputVariable* PercentageInStocks = new OutputVariable;
+PercentageInStocks->setName("PercentageInStocks");
+PercentageInStocks->setDescription("");
+PercentageInStocks->setEnabled(true);
+PercentageInStocks->setRange(0.000, 100.000);
+PercentageInStocks->setLockValueInRange(false);
+PercentageInStocks->setAggregation(new EinsteinSum);
+PercentageInStocks->setDefuzzifier(new Centroid(200));
+PercentageInStocks->setDefaultValue(fl::nan);
+PercentageInStocks->setLockPreviousValue(false);
+PercentageInStocks->addTerm(new Gaussian("AboutFifteen", 15.000, 10.000));
+PercentageInStocks->addTerm(new Gaussian("AboutFifty", 50.000, 10.000));
+PercentageInStocks->addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000));
+engine->addOutputVariable(PercentageInStocks);
+
+RuleBlock* ruleBlock = new RuleBlock;
+ruleBlock->setName("");
+ruleBlock->setDescription("");
+ruleBlock->setEnabled(true);
+ruleBlock->setConjunction(new EinsteinProduct);
+ruleBlock->setDisjunction(new EinsteinSum);
+ruleBlock->setImplication(new EinsteinProduct);
+ruleBlock->setActivation(new General);
+ruleBlock->addRule(Rule::parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine));
+ruleBlock->addRule(Rule::parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine));
+ruleBlock->addRule(Rule::parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine));
+ruleBlock->addRule(Rule::parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/octave/investment_portfolio.fcl b/examples/mamdani/octave/investment_portfolio.fcl
new file mode 100644
index 0000000..ec837a7
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.fcl
@@ -0,0 +1,46 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK investment_portfolio
+
+VAR_INPUT
+  Age: REAL;
+  RiskTolerance: REAL;
+END_VAR
+
+VAR_OUTPUT
+  PercentageInStocks: REAL;
+END_VAR
+
+FUZZIFY Age
+  RANGE := (20.000 .. 100.000);
+  TERM Young := ZShape 30.000 90.000;
+  TERM Old := SShape 30.000 90.000;
+END_FUZZIFY
+
+FUZZIFY RiskTolerance
+  RANGE := (0.000 .. 10.000);
+  TERM Low := ZShape 2.000 8.000;
+  TERM High := SShape 2.000 8.000;
+END_FUZZIFY
+
+DEFUZZIFY PercentageInStocks
+  RANGE := (0.000 .. 100.000);
+  TERM AboutFifteen := Gaussian 15.000 10.000;
+  TERM AboutFifty := Gaussian 50.000 10.000;
+  TERM AboutEightyFive := Gaussian 85.000 10.000;
+  METHOD : COG;
+  ACCU : ESUM;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  AND : EPROD;
+  OR : ESUM;
+  ACT : EPROD;
+  RULE 1 : if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive
+  RULE 2 : if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen
+  RULE 3 : if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500
+  RULE 4 : if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/octave/investment_portfolio.fis b/examples/mamdani/octave/investment_portfolio.fis
new file mode 100644
index 0000000..b512a68
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.fis
@@ -0,0 +1,42 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='investment_portfolio'
+Type='mamdani'
+Version=6.0
+NumInputs=2
+NumOutputs=1
+NumRules=4
+AndMethod='einstein_product'
+OrMethod='einstein_sum'
+ImpMethod='einstein_product'
+AggMethod='einstein_sum'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='Age'
+Range=[20.000 100.000]
+NumMFs=2
+MF1='Young':'zmf',[30.000 90.000]
+MF2='Old':'smf',[30.000 90.000]
+
+[Input2]
+Name='RiskTolerance'
+Range=[0.000 10.000]
+NumMFs=2
+MF1='Low':'zmf',[2.000 8.000]
+MF2='High':'smf',[2.000 8.000]
+
+[Output1]
+Name='PercentageInStocks'
+Range=[0.000 100.000]
+NumMFs=3
+MF1='AboutFifteen':'gaussmf',[10.000 15.000]
+MF2='AboutFifty':'gaussmf',[10.000 50.000]
+MF3='AboutEightyFive':'gaussmf',[10.000 85.000]
+
+[Rules]
+1.000 2.000 , 3.000 (1.000) : 2
+2.000 1.000 , 1.000 (1.000) : 2
+-2.300 -1.300 , 2.000 (0.500) : 1
+-1.300 -2.300 , 2.000 (0.500) : 1
diff --git a/examples/mamdani/octave/investment_portfolio.fld b/examples/mamdani/octave/investment_portfolio.fld
new file mode 100644
index 0000000..4da9cb9
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.fld
@@ -0,0 +1,1025 @@
+Age RiskTolerance PercentageInStocks
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diff --git a/examples/mamdani/octave/investment_portfolio.fll b/examples/mamdani/octave/investment_portfolio.fll
new file mode 100644
index 0000000..628fdef
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.fll
@@ -0,0 +1,34 @@
+Engine: investment_portfolio
+InputVariable: Age
+  enabled: true
+  range: 20.000 100.000
+  lock-range: false
+  term: Young ZShape 30.000 90.000
+  term: Old SShape 30.000 90.000
+InputVariable: RiskTolerance
+  enabled: true
+  range: 0.000 10.000
+  lock-range: false
+  term: Low ZShape 2.000 8.000
+  term: High SShape 2.000 8.000
+OutputVariable: PercentageInStocks
+  enabled: true
+  range: 0.000 100.000
+  lock-range: false
+  aggregation: EinsteinSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: AboutFifteen Gaussian 15.000 10.000
+  term: AboutFifty Gaussian 50.000 10.000
+  term: AboutEightyFive Gaussian 85.000 10.000
+RuleBlock: 
+  enabled: true
+  conjunction: EinsteinProduct
+  disjunction: EinsteinSum
+  implication: EinsteinProduct
+  activation: General
+  rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive
+  rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen
+  rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500
+  rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500
\ No newline at end of file
diff --git a/examples/mamdani/octave/investment_portfolio.java b/examples/mamdani/octave/investment_portfolio.java
new file mode 100644
index 0000000..9dff687
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.java
@@ -0,0 +1,73 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class investment_portfolio{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("investment_portfolio");
+engine.setDescription("");
+
+InputVariable Age = new InputVariable();
+Age.setName("Age");
+Age.setDescription("");
+Age.setEnabled(true);
+Age.setRange(20.000, 100.000);
+Age.setLockValueInRange(false);
+Age.addTerm(new ZShape("Young", 30.000, 90.000));
+Age.addTerm(new SShape("Old", 30.000, 90.000));
+engine.addInputVariable(Age);
+
+InputVariable RiskTolerance = new InputVariable();
+RiskTolerance.setName("RiskTolerance");
+RiskTolerance.setDescription("");
+RiskTolerance.setEnabled(true);
+RiskTolerance.setRange(0.000, 10.000);
+RiskTolerance.setLockValueInRange(false);
+RiskTolerance.addTerm(new ZShape("Low", 2.000, 8.000));
+RiskTolerance.addTerm(new SShape("High", 2.000, 8.000));
+engine.addInputVariable(RiskTolerance);
+
+OutputVariable PercentageInStocks = new OutputVariable();
+PercentageInStocks.setName("PercentageInStocks");
+PercentageInStocks.setDescription("");
+PercentageInStocks.setEnabled(true);
+PercentageInStocks.setRange(0.000, 100.000);
+PercentageInStocks.setLockValueInRange(false);
+PercentageInStocks.setAggregation(new EinsteinSum());
+PercentageInStocks.setDefuzzifier(new Centroid(200));
+PercentageInStocks.setDefaultValue(Double.NaN);
+PercentageInStocks.setLockPreviousValue(false);
+PercentageInStocks.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000));
+PercentageInStocks.addTerm(new Gaussian("AboutFifty", 50.000, 10.000));
+PercentageInStocks.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000));
+engine.addOutputVariable(PercentageInStocks);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(new EinsteinProduct());
+ruleBlock.setDisjunction(new EinsteinSum());
+ruleBlock.setImplication(new EinsteinProduct());
+ruleBlock.setActivation(new General());
+ruleBlock.addRule(Rule.parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine));
+ruleBlock.addRule(Rule.parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine));
+ruleBlock.addRule(Rule.parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine));
+ruleBlock.addRule(Rule.parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/octave/investment_portfolio.pdf b/examples/mamdani/octave/investment_portfolio.pdf
new file mode 100644
index 0000000..c9c897e
--- /dev/null
+++ b/examples/mamdani/octave/investment_portfolio.pdf
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.R b/examples/mamdani/octave/mamdani_tip_calculator.R
new file mode 100644
index 0000000..81eabe2
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.R
@@ -0,0 +1,90 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "mamdani_tip_calculator"
+engine.fll = "Engine: mamdani_tip_calculator
+InputVariable: FoodQuality
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+InputVariable: Service
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+OutputVariable: Tip
+  enabled: true
+  range: 0.000 30.000
+  lock-range: false
+  aggregation: AlgebraicSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: AboutTenPercent Gaussian 10.000 2.000
+  term: AboutFifteenPercent Gaussian 15.000 2.000
+  term: AboutTwentyPercent Gaussian 20.000 2.000
+OutputVariable: CheckPlusTip
+  enabled: true
+  range: 1.000 1.300
+  lock-range: false
+  aggregation: AlgebraicSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: PlusAboutTenPercent Gaussian 1.100 0.020
+  term: PlusAboutFifteenPercent Gaussian 1.150 0.020
+  term: PlusAboutTwentyPercent Gaussian 1.200 0.020
+RuleBlock: 
+  enabled: true
+  conjunction: AlgebraicProduct
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent
+  rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent"
+
+engine.fldFile = "mamdani_tip_calculator.fld"
+if (require(data.table)) {
+    engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
+} else {
+    engine.df = read.table(engine.fldFile, header=TRUE)
+}
+
+engine.plot.i1i2_o1 = ggplot(engine.df, aes(FoodQuality, Service)) + 
+    geom_tile(aes(fill=Tip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=FoodQuality, y=Service, z=Tip), color="black") + 
+    ggtitle("(FoodQuality, Service) = Tip")
+
+engine.plot.i2i1_o1 = ggplot(engine.df, aes(Service, FoodQuality)) + 
+    geom_tile(aes(fill=Tip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Service, y=FoodQuality, z=Tip), color="black") + 
+    ggtitle("(Service, FoodQuality) = Tip")
+
+engine.plot.i1i2_o2 = ggplot(engine.df, aes(FoodQuality, Service)) + 
+    geom_tile(aes(fill=CheckPlusTip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=FoodQuality, y=Service, z=CheckPlusTip), color="black") + 
+    ggtitle("(FoodQuality, Service) = CheckPlusTip")
+
+engine.plot.i2i1_o2 = ggplot(engine.df, aes(Service, FoodQuality)) + 
+    geom_tile(aes(fill=CheckPlusTip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Service, y=FoodQuality, z=CheckPlusTip), color="black") + 
+    ggtitle("(Service, FoodQuality) = CheckPlusTip")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.cpp b/examples/mamdani/octave/mamdani_tip_calculator.cpp
new file mode 100644
index 0000000..86d6464
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.cpp
@@ -0,0 +1,77 @@
+#include <fl/Headers.h>
+
+int main(int argc, char** argv){
+//Code automatically generated with fuzzylite 6.0.
+
+using namespace fl;
+
+Engine* engine = new Engine;
+engine->setName("mamdani_tip_calculator");
+engine->setDescription("");
+
+InputVariable* FoodQuality = new InputVariable;
+FoodQuality->setName("FoodQuality");
+FoodQuality->setDescription("");
+FoodQuality->setEnabled(true);
+FoodQuality->setRange(1.000, 10.000);
+FoodQuality->setLockValueInRange(false);
+FoodQuality->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+FoodQuality->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine->addInputVariable(FoodQuality);
+
+InputVariable* Service = new InputVariable;
+Service->setName("Service");
+Service->setDescription("");
+Service->setEnabled(true);
+Service->setRange(1.000, 10.000);
+Service->setLockValueInRange(false);
+Service->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+Service->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine->addInputVariable(Service);
+
+OutputVariable* Tip = new OutputVariable;
+Tip->setName("Tip");
+Tip->setDescription("");
+Tip->setEnabled(true);
+Tip->setRange(0.000, 30.000);
+Tip->setLockValueInRange(false);
+Tip->setAggregation(new AlgebraicSum);
+Tip->setDefuzzifier(new Centroid(200));
+Tip->setDefaultValue(fl::nan);
+Tip->setLockPreviousValue(false);
+Tip->addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000));
+Tip->addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000));
+Tip->addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000));
+engine->addOutputVariable(Tip);
+
+OutputVariable* CheckPlusTip = new OutputVariable;
+CheckPlusTip->setName("CheckPlusTip");
+CheckPlusTip->setDescription("");
+CheckPlusTip->setEnabled(true);
+CheckPlusTip->setRange(1.000, 1.300);
+CheckPlusTip->setLockValueInRange(false);
+CheckPlusTip->setAggregation(new AlgebraicSum);
+CheckPlusTip->setDefuzzifier(new Centroid(200));
+CheckPlusTip->setDefaultValue(fl::nan);
+CheckPlusTip->setLockPreviousValue(false);
+CheckPlusTip->addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020));
+CheckPlusTip->addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020));
+CheckPlusTip->addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020));
+engine->addOutputVariable(CheckPlusTip);
+
+RuleBlock* ruleBlock = new RuleBlock;
+ruleBlock->setName("");
+ruleBlock->setDescription("");
+ruleBlock->setEnabled(true);
+ruleBlock->setConjunction(new AlgebraicProduct);
+ruleBlock->setDisjunction(new Maximum);
+ruleBlock->setImplication(new Minimum);
+ruleBlock->setActivation(new General);
+ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine));
+ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine));
+ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine));
+ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine));
+engine->addRuleBlock(ruleBlock);
+
+
+}
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fcl b/examples/mamdani/octave/mamdani_tip_calculator.fcl
new file mode 100644
index 0000000..0265bc2
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.fcl
@@ -0,0 +1,57 @@
+//Code automatically generated with fuzzylite 6.0.
+
+FUNCTION_BLOCK mamdani_tip_calculator
+
+VAR_INPUT
+  FoodQuality: REAL;
+  Service: REAL;
+END_VAR
+
+VAR_OUTPUT
+  Tip: REAL;
+  CheckPlusTip: REAL;
+END_VAR
+
+FUZZIFY FoodQuality
+  RANGE := (1.000 .. 10.000);
+  TERM Bad := Trapezoid 0.000 1.000 3.000 7.000;
+  TERM Good := Trapezoid 3.000 7.000 10.000 11.000;
+END_FUZZIFY
+
+FUZZIFY Service
+  RANGE := (1.000 .. 10.000);
+  TERM Bad := Trapezoid 0.000 1.000 3.000 7.000;
+  TERM Good := Trapezoid 3.000 7.000 10.000 11.000;
+END_FUZZIFY
+
+DEFUZZIFY Tip
+  RANGE := (0.000 .. 30.000);
+  TERM AboutTenPercent := Gaussian 10.000 2.000;
+  TERM AboutFifteenPercent := Gaussian 15.000 2.000;
+  TERM AboutTwentyPercent := Gaussian 20.000 2.000;
+  METHOD : COG;
+  ACCU : ASUM;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+DEFUZZIFY CheckPlusTip
+  RANGE := (1.000 .. 1.300);
+  TERM PlusAboutTenPercent := Gaussian 1.100 0.020;
+  TERM PlusAboutFifteenPercent := Gaussian 1.150 0.020;
+  TERM PlusAboutTwentyPercent := Gaussian 1.200 0.020;
+  METHOD : COG;
+  ACCU : ASUM;
+  DEFAULT := nan;
+END_DEFUZZIFY
+
+RULEBLOCK 
+  AND : PROD;
+  OR : MAX;
+  ACT : MIN;
+  RULE 1 : if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent
+  RULE 2 : if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  RULE 3 : if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  RULE 4 : if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent
+END_RULEBLOCK
+
+END_FUNCTION_BLOCK
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fis b/examples/mamdani/octave/mamdani_tip_calculator.fis
new file mode 100644
index 0000000..13cd802
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.fis
@@ -0,0 +1,50 @@
+#Code automatically generated with fuzzylite 6.0.
+
+[System]
+Name='mamdani_tip_calculator'
+Type='mamdani'
+Version=6.0
+NumInputs=2
+NumOutputs=2
+NumRules=4
+AndMethod='prod'
+OrMethod='max'
+ImpMethod='min'
+AggMethod='probor'
+DefuzzMethod='centroid'
+
+[Input1]
+Name='FoodQuality'
+Range=[1.000 10.000]
+NumMFs=2
+MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000]
+MF2='Good':'trapmf',[3.000 7.000 10.000 11.000]
+
+[Input2]
+Name='Service'
+Range=[1.000 10.000]
+NumMFs=2
+MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000]
+MF2='Good':'trapmf',[3.000 7.000 10.000 11.000]
+
+[Output1]
+Name='Tip'
+Range=[0.000 30.000]
+NumMFs=3
+MF1='AboutTenPercent':'gaussmf',[2.000 10.000]
+MF2='AboutFifteenPercent':'gaussmf',[2.000 15.000]
+MF3='AboutTwentyPercent':'gaussmf',[2.000 20.000]
+
+[Output2]
+Name='CheckPlusTip'
+Range=[1.000 1.300]
+NumMFs=3
+MF1='PlusAboutTenPercent':'gaussmf',[0.020 1.100]
+MF2='PlusAboutFifteenPercent':'gaussmf',[0.020 1.150]
+MF3='PlusAboutTwentyPercent':'gaussmf',[0.020 1.200]
+
+[Rules]
+1.000 1.000 , 1.000 1.000 (1.000) : 1
+1.000 2.000 , 2.000 2.000 (1.000) : 1
+2.000 1.000 , 2.000 2.000 (1.000) : 1
+2.000 2.000 , 3.000 3.000 (1.000) : 1
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fld b/examples/mamdani/octave/mamdani_tip_calculator.fld
new file mode 100644
index 0000000..9d87eab
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.fld
@@ -0,0 +1,1025 @@
+FoodQuality Service Tip CheckPlusTip
+1.000000000 1.000000000 10.000002957 1.100000030
+1.000000000 1.290322581 10.000002957 1.100000030
+1.000000000 1.580645161 10.000002957 1.100000030
+1.000000000 1.870967742 10.000002957 1.100000030
+1.000000000 2.161290323 10.000002957 1.100000030
+1.000000000 2.451612903 10.000002957 1.100000030
+1.000000000 2.741935484 10.000002957 1.100000030
+1.000000000 3.032258065 10.103612040 1.101036120
+1.000000000 3.322580645 10.708467388 1.107084674
+1.000000000 3.612903226 11.133945555 1.111339456
+1.000000000 3.903225806 11.479248807 1.114792488
+1.000000000 4.193548387 11.778370516 1.117783705
+1.000000000 4.483870968 12.050104922 1.120501049
+1.000000000 4.774193548 12.305762763 1.123057628
+1.000000000 5.064516129 12.555175445 1.125551754
+1.000000000 5.354838710 12.806659860 1.128066599
+1.000000000 5.645161290 13.068093230 1.130680932
+1.000000000 5.935483871 13.350561957 1.133505620
+1.000000000 6.225806452 13.666570669 1.136665707
+1.000000000 6.516129032 14.042124914 1.140421249
+1.000000000 6.806451613 14.524928709 1.145249287
+1.000000000 7.096774194 15.000000000 1.150000000
+1.000000000 7.387096774 15.000000000 1.150000000
+1.000000000 7.677419355 15.000000000 1.150000000
+1.000000000 7.967741935 15.000000000 1.150000000
+1.000000000 8.258064516 15.000000000 1.150000000
+1.000000000 8.548387097 15.000000000 1.150000000
+1.000000000 8.838709677 15.000000000 1.150000000
+1.000000000 9.129032258 15.000000000 1.150000000
+1.000000000 9.419354839 15.000000000 1.150000000
+1.000000000 9.709677419 15.000000000 1.150000000
+1.000000000 10.000000000 15.000000000 1.150000000
+1.290322581 1.000000000 10.000002957 1.100000030
+1.290322581 1.290322581 10.000002957 1.100000030
+1.290322581 1.580645161 10.000002957 1.100000030
+1.290322581 1.870967742 10.000002957 1.100000030
+1.290322581 2.161290323 10.000002957 1.100000030
+1.290322581 2.451612903 10.000002957 1.100000030
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+1.290322581 3.032258065 10.103612040 1.101036120
+1.290322581 3.322580645 10.708467388 1.107084674
+1.290322581 3.612903226 11.133945555 1.111339456
+1.290322581 3.903225806 11.479248807 1.114792488
+1.290322581 4.193548387 11.778370516 1.117783705
+1.290322581 4.483870968 12.050104922 1.120501049
+1.290322581 4.774193548 12.305762763 1.123057628
+1.290322581 5.064516129 12.555175445 1.125551754
+1.290322581 5.354838710 12.806659860 1.128066599
+1.290322581 5.645161290 13.068093230 1.130680932
+1.290322581 5.935483871 13.350561957 1.133505620
+1.290322581 6.225806452 13.666570669 1.136665707
+1.290322581 6.516129032 14.042124914 1.140421249
+1.290322581 6.806451613 14.524928709 1.145249287
+1.290322581 7.096774194 15.000000000 1.150000000
+1.290322581 7.387096774 15.000000000 1.150000000
+1.290322581 7.677419355 15.000000000 1.150000000
+1.290322581 7.967741935 15.000000000 1.150000000
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+1.290322581 8.548387097 15.000000000 1.150000000
+1.290322581 8.838709677 15.000000000 1.150000000
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+1.290322581 9.709677419 15.000000000 1.150000000
+1.290322581 10.000000000 15.000000000 1.150000000
+1.580645161 1.000000000 10.000002957 1.100000030
+1.580645161 1.290322581 10.000002957 1.100000030
+1.580645161 1.580645161 10.000002957 1.100000030
+1.580645161 1.870967742 10.000002957 1.100000030
+1.580645161 2.161290323 10.000002957 1.100000030
+1.580645161 2.451612903 10.000002957 1.100000030
+1.580645161 2.741935484 10.000002957 1.100000030
+1.580645161 3.032258065 10.103612040 1.101036120
+1.580645161 3.322580645 10.708467388 1.107084674
+1.580645161 3.612903226 11.133945555 1.111339456
+1.580645161 3.903225806 11.479248807 1.114792488
+1.580645161 4.193548387 11.778370516 1.117783705
+1.580645161 4.483870968 12.050104922 1.120501049
+1.580645161 4.774193548 12.305762763 1.123057628
+1.580645161 5.064516129 12.555175445 1.125551754
+1.580645161 5.354838710 12.806659860 1.128066599
+1.580645161 5.645161290 13.068093230 1.130680932
+1.580645161 5.935483871 13.350561957 1.133505620
+1.580645161 6.225806452 13.666570669 1.136665707
+1.580645161 6.516129032 14.042124914 1.140421249
+1.580645161 6.806451613 14.524928709 1.145249287
+1.580645161 7.096774194 15.000000000 1.150000000
+1.580645161 7.387096774 15.000000000 1.150000000
+1.580645161 7.677419355 15.000000000 1.150000000
+1.580645161 7.967741935 15.000000000 1.150000000
+1.580645161 8.258064516 15.000000000 1.150000000
+1.580645161 8.548387097 15.000000000 1.150000000
+1.580645161 8.838709677 15.000000000 1.150000000
+1.580645161 9.129032258 15.000000000 1.150000000
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diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fll b/examples/mamdani/octave/mamdani_tip_calculator.fll
new file mode 100644
index 0000000..516d870
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.fll
@@ -0,0 +1,45 @@
+Engine: mamdani_tip_calculator
+InputVariable: FoodQuality
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+InputVariable: Service
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+OutputVariable: Tip
+  enabled: true
+  range: 0.000 30.000
+  lock-range: false
+  aggregation: AlgebraicSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: AboutTenPercent Gaussian 10.000 2.000
+  term: AboutFifteenPercent Gaussian 15.000 2.000
+  term: AboutTwentyPercent Gaussian 20.000 2.000
+OutputVariable: CheckPlusTip
+  enabled: true
+  range: 1.000 1.300
+  lock-range: false
+  aggregation: AlgebraicSum
+  defuzzifier: Centroid 200
+  default: nan
+  lock-previous: false
+  term: PlusAboutTenPercent Gaussian 1.100 0.020
+  term: PlusAboutFifteenPercent Gaussian 1.150 0.020
+  term: PlusAboutTwentyPercent Gaussian 1.200 0.020
+RuleBlock: 
+  enabled: true
+  conjunction: AlgebraicProduct
+  disjunction: Maximum
+  implication: Minimum
+  activation: General
+  rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent
+  rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent
+  rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent
\ No newline at end of file
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.java b/examples/mamdani/octave/mamdani_tip_calculator.java
new file mode 100644
index 0000000..faea466
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.java
@@ -0,0 +1,88 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+import com.fuzzylite.defuzzifier.*;
+import com.fuzzylite.factory.*;
+import com.fuzzylite.hedge.*;
+import com.fuzzylite.imex.*;
+import com.fuzzylite.norm.*;
+import com.fuzzylite.norm.s.*;
+import com.fuzzylite.norm.t.*;
+import com.fuzzylite.rule.*;
+import com.fuzzylite.term.*;
+import com.fuzzylite.variable.*;
+
+public class mamdani_tip_calculator{
+public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("mamdani_tip_calculator");
+engine.setDescription("");
+
+InputVariable FoodQuality = new InputVariable();
+FoodQuality.setName("FoodQuality");
+FoodQuality.setDescription("");
+FoodQuality.setEnabled(true);
+FoodQuality.setRange(1.000, 10.000);
+FoodQuality.setLockValueInRange(false);
+FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine.addInputVariable(FoodQuality);
+
+InputVariable Service = new InputVariable();
+Service.setName("Service");
+Service.setDescription("");
+Service.setEnabled(true);
+Service.setRange(1.000, 10.000);
+Service.setLockValueInRange(false);
+Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine.addInputVariable(Service);
+
+OutputVariable Tip = new OutputVariable();
+Tip.setName("Tip");
+Tip.setDescription("");
+Tip.setEnabled(true);
+Tip.setRange(0.000, 30.000);
+Tip.setLockValueInRange(false);
+Tip.setAggregation(new AlgebraicSum());
+Tip.setDefuzzifier(new Centroid(200));
+Tip.setDefaultValue(Double.NaN);
+Tip.setLockPreviousValue(false);
+Tip.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000));
+Tip.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000));
+Tip.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000));
+engine.addOutputVariable(Tip);
+
+OutputVariable CheckPlusTip = new OutputVariable();
+CheckPlusTip.setName("CheckPlusTip");
+CheckPlusTip.setDescription("");
+CheckPlusTip.setEnabled(true);
+CheckPlusTip.setRange(1.000, 1.300);
+CheckPlusTip.setLockValueInRange(false);
+CheckPlusTip.setAggregation(new AlgebraicSum());
+CheckPlusTip.setDefuzzifier(new Centroid(200));
+CheckPlusTip.setDefaultValue(Double.NaN);
+CheckPlusTip.setLockPreviousValue(false);
+CheckPlusTip.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020));
+CheckPlusTip.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020));
+CheckPlusTip.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020));
+engine.addOutputVariable(CheckPlusTip);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(new AlgebraicProduct());
+ruleBlock.setDisjunction(new Maximum());
+ruleBlock.setImplication(new Minimum());
+ruleBlock.setActivation(new General());
+ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine));
+ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine));
+ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine));
+ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.pdf b/examples/mamdani/octave/mamdani_tip_calculator.pdf
new file mode 100644
index 0000000..d62a142
--- /dev/null
+++ b/examples/mamdani/octave/mamdani_tip_calculator.pdf