public static float CalculateEmotionLevels(Data[] p_data, float p_value)
{
c = new FLC(configure);
double healthCurrentCrisp = p_data[0].health;
FuzzySet fuzzy_health = new FuzzySet(c.Fuzzification(healthCurrentCrisp, health), health.Name);
List <FuzzySet> input_sets = new List <FuzzySet>();
input_sets.Add(fuzzy_health);
engine = new InferEngine(configure, rules, input_sets);
List <FuzzySet> fuzzy_out = engine.evaluateRules();
float crisp_mood = (float)c.DeFuzzification(fuzzy_out, mood);
return(crisp_mood);
}
private static void test2(double in1, double in2)
{
Config conf = new Config(ImpMethod.Prod,
ConnMethod.Min
);
LingVariable X1 = new LingVariable("X1", VarType.Input);
X1.setRange(0, 35);
X1.addMF(new Trapmf("Low", -10, 0, 10, 15));
X1.addMF(new Trapmf("Medium", 10, 15, 25, 30));
X1.addMF(new Trapmf("High", 25, 30, 35, 40));
LingVariable X2 = new LingVariable("X2", VarType.Input);
X2.setRange(0, 65);
X2.addMF(new Trapmf("Low", -10, 0, 20, 41));
X2.addMF(new Trimf("Medium", 20, 41, 60));
X2.addMF(new Trapmf("High", 41, 60, 65, 70));
LingVariable Y1 = new LingVariable("Y1", VarType.Output);
Y1.setRange(0, 100);
Y1.addMF(new Trapmf("Low", 10, 20, 30, 40));
Y1.addMF(new Trapmf("Medium", 40, 50, 60, 70));
Y1.addMF(new Trapmf("High", 70, 80, 90, 100));
FLC c = new FLC(conf);
double front = in1;
double back = in2;
FuzzySet set1 = new FuzzySet(c.Fuzzification(front, X1), X1.Name);
FuzzySet set2 = new FuzzySet(c.Fuzzification(back, X2), X2.Name);
Console.WriteLine("1. Crisp Input\n");
Console.WriteLine("Front Side Sensor: " + front.ToString());
Console.WriteLine("Back Side Sensor: " + back.ToString());
List <FuzzySet> fuzset = new List <FuzzySet>();
fuzset.Add(set1);
fuzset.Add(set2);
Console.WriteLine("\n2. Fuzzfication of inputs\n");
for (int i = 0; i < fuzset.Count; i++)
{
Console.WriteLine(fuzset[i].Variable);
for (int j = 0; j < fuzset[i].Set.Count; j++)
{
Console.WriteLine(fuzset[i].Set[j].ToString());
}
Console.WriteLine();
}
List <RuleItem> rule1in = new List <RuleItem>();
List <RuleItem> rule1out = new List <RuleItem>();
List <RuleItem> rule2in = new List <RuleItem>();
List <RuleItem> rule2out = new List <RuleItem>();
List <RuleItem> rule3in = new List <RuleItem>();
List <RuleItem> rule3out = new List <RuleItem>();
List <RuleItem> rule4in = new List <RuleItem>();
List <RuleItem> rule4out = new List <RuleItem>();
List <RuleItem> rule5in = new List <RuleItem>();
List <RuleItem> rule5out = new List <RuleItem>();
List <RuleItem> rule9in = new List <RuleItem>();
List <RuleItem> rule9out = new List <RuleItem>();
rule1in.AddRange(new RuleItem[2] {
new RuleItem("X1", "Low"), new RuleItem("X2", "Low")
});
rule1out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "High")
});
rule2in.AddRange(new RuleItem[2] {
new RuleItem("X1", "Low"), new RuleItem("X2", "Medium")
});
rule2out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "Low")
});
rule3in.AddRange(new RuleItem[2] {
new RuleItem("X1", "Low"), new RuleItem("X2", "High")
});
rule3out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "Medium")
});
rule4in.AddRange(new RuleItem[2] {
new RuleItem("X1", "Medium"), new RuleItem("X2", "Low")
});
rule4out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "Medium")
});
rule5in.AddRange(new RuleItem[2] {
new RuleItem("X1", "Medium"), new RuleItem("X2", "Medium")
});
rule5out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "High")
});
rule9in.AddRange(new RuleItem[2] {
new RuleItem("X1", "High"), new RuleItem("X2", "High")
});
rule9out.AddRange(new RuleItem[1] {
new RuleItem("Y1", "Medium")
});
List <Rule> rules = new List <Rule>();
rules.Add(new Rule(rule1in, rule1out, Connector.And));
rules.Add(new Rule(rule2in, rule2out, Connector.And));
rules.Add(new Rule(rule3in, rule3out, Connector.And));
rules.Add(new Rule(rule4in, rule4out, Connector.And));
rules.Add(new Rule(rule5in, rule5out, Connector.And));
rules.Add(new Rule(rule9in, rule9out, Connector.And));
InferEngine engine = new InferEngine(conf, rules, fuzset);
List <FuzzySet> impli = engine.evaluateRules();
Console.WriteLine("3. Fuzzy Output After Rules Evaluation \n");
for (int i = 0; i < engine.FiredRules.Count; i++)
{
Console.WriteLine("Rule " + engine.FiredRules[i].ToString());
}
for (int i = 0; i < impli.Count; i++)
{
Console.WriteLine(impli[i].Variable);
for (int j = 0; j < impli[i].Set.Count; j++)
{
Console.WriteLine(impli[i].Set[j].ToString());
}
Console.WriteLine();
}
double crisp1 = c.DeFuzzification(impli, Y1);
Console.WriteLine("4. Crisp Output\n");
Console.WriteLine("Output Y1: " + crisp1.ToString());
Console.ReadLine();
}
private static void test1(double in1, double in2)
{
//Controller Configuration
Config conf = new Config(ImpMethod.Min,
ConnMethod.Min
);
//Creating Lingustic Variables and Membership functions for inputs
//inputs
LingVariable FSS = new LingVariable("FSS", VarType.Input);
FSS.setRange(0, 30);
FSS.addMF(new Trapmf("Low", -9, -1, 2, 9));
FSS.addMF(new Trapmf("Medium", 2, 8.333, 14.17, 21.5));
FSS.addMF(new Trapmf("High", 14.17, 18.33, 26, 34));
LingVariable BSS = new LingVariable("BSS", VarType.Input);
BSS.setRange(0, 60);
BSS.addMF(new Trapmf("Low", -15.5, -1.75, 1.54, 21.87));
BSS.addMF(new Trimf("Medium", 1.54, 21.87, 41));
BSS.addMF(new Trapmf("High", 21.78, 36.1, 44.7, 58.8));
//output
LingVariable Speed = new LingVariable("Speed", VarType.Output);
Speed.setRange(10, 70);
Speed.addMF(new Trimf("Low", 20, 30, 40));
Speed.addMF(new Trimf("Medium", 40, 50, 55));
Speed.addMF(new Trimf("High", 55, 60, 70));
LingVariable Steer = new LingVariable("Steer", VarType.Output);
Steer.setRange(-180, 180);
Steer.addMF(new Trimf("Right", -180, -93, -40));
Steer.addMF(new Trimf("Zero", -40, 0, 40));
Steer.addMF(new Trimf("Left", 40, 90, 180));
// Fuzzify Values and get FuzzySet contain MembershipValues and Fireing Strength for each Lingustic Variable
FLC c = new FLC(conf);
double front = in1;
double back = in2;
FuzzySet set1 = new FuzzySet(c.Fuzzification(front, FSS), FSS.Name);
FuzzySet set2 = new FuzzySet(c.Fuzzification(back, BSS), BSS.Name);
Console.WriteLine("1. Crisp Input\n");
Console.WriteLine("Front Side Sensor: " + front.ToString());
Console.WriteLine("Back Side Sensor: " + back.ToString());
List <FuzzySet> fuzset = new List <FuzzySet>();
fuzset.Add(set1);
fuzset.Add(set2);
Console.WriteLine("\n2. Fuzzfication of inputs\n");
for (int i = 0; i < fuzset.Count; i++)
{
Console.WriteLine(fuzset[i].Variable);
for (int j = 0; j < fuzset[i].Set.Count; j++)
{
Console.WriteLine(fuzset[i].Set[j].ToString());
}
Console.WriteLine();
}
//Create Rules
List <RuleItem> rule1in = new List <RuleItem>();
List <RuleItem> rule1out = new List <RuleItem>();
List <RuleItem> rule2in = new List <RuleItem>();
List <RuleItem> rule2out = new List <RuleItem>();
List <RuleItem> rule3in = new List <RuleItem>();
List <RuleItem> rule3out = new List <RuleItem>();
//rule 3 in out
rule3in.AddRange(new RuleItem[2] {
new RuleItem("FSS", "Low"), new RuleItem("BSS", "Low")
});
rule3out.AddRange(new RuleItem[2] {
new RuleItem("Speed", "High"), new RuleItem("Steer", "Right")
});
//rule 2 in out
rule2in.AddRange(new RuleItem[2] {
new RuleItem("FSS", "Low"), new RuleItem("BSS", "High")
});
rule2out.AddRange(new RuleItem[2] {
new RuleItem("Speed", "Medium"), new RuleItem("Steer", "Left")
});
//rule 1 in out
rule1in.AddRange(new RuleItem[2] {
new RuleItem("FSS", "Medium"), new RuleItem("BSS", "Medium")
});
rule1out.AddRange(new RuleItem[2] {
new RuleItem("Speed", "Medium"), new RuleItem("Steer", "Zero")
});
List <Rule> rules = new List <Rule>();
rules.Add(new Rule(rule1in, rule1out, Connector.And));
rules.Add(new Rule(rule2in, rule2out, Connector.And));
rules.Add(new Rule(rule3in, rule3out, Connector.And));
//Using the inference Engine ... Completed
InferEngine engine = new InferEngine(conf, rules, fuzset);
List <FuzzySet> impli = engine.evaluateRules();
Console.WriteLine("3. Fuzzy Output After Rules Evaluation \n");
for (int i = 0; i < engine.FiredRules.Count; i++)
{
Console.WriteLine("Rule " + engine.FiredRules[i].ToString());
}
for (int i = 0; i < impli.Count; i++)
{
Console.WriteLine(impli[i].Variable);
for (int j = 0; j < impli[i].Set.Count; j++)
{
Console.WriteLine(impli[i].Set[j].ToString());
}
Console.WriteLine();
}
double crisp1 = c.DeFuzzification(impli, Speed);
double crisp2 = c.DeFuzzification(impli, Steer);
Console.WriteLine("4. Crisp Output\n");
Console.WriteLine("Output Speed: " + crisp1.ToString());
Console.WriteLine("Output Steer: " + crisp2.ToString());
Console.ReadLine();
}