public void TrapezoidMax_Success(double x0, double x1, double x2, double x3, double expectedResult)
{
//Arrange
var membershipFunction = new TrapezoidMembershipFunction("test", x0, x1, x2, x3);
//Act
var result = membershipFunction.Max();
//Assert
Assert.That(result, Is.EqualTo(expectedResult));
}
public LinguisticVariable(LinguisticVariableParameters par)
{
name = par.Name;
x = par.range;
H = par.Labels.ToArray();
G = new IMembershipFunction[par.memberShipFunction.Count];
for (int i = 0; i < par.memberShipFunction.Count; i++)
{
var mFunction = par.memberShipFunction[i];
mFunction = mFunction.Remove(mFunction.Length - 1, 1);
var mFunctionArray = mFunction.Split('(');
var args = new List <string>();
foreach (var v in mFunctionArray[1].Split(','))
{
args.Add(v);
}
switch (mFunctionArray[0])
{
case "triangle":
var triangle1 = double.Parse(args[0]);
var triangle2 = double.Parse(args[1]);
var triangle3 = double.Parse(args[2]);
G[i] = new TriangleMembershipFunction(triangle1, triangle2, triangle3);
break;
case "trapezoid":
var trapezoid1 = double.Parse(args[0]);
var trapezoid2 = double.Parse(args[1]);
var trapezoid3 = double.Parse(args[2]);
var trapezoid4 = double.Parse(args[3]);
G[i] = new TrapezoidMembershipFunction(trapezoid1, trapezoid2, trapezoid3, trapezoid4);
break;
case "classic":
var classic1 = args[0];
var classic2 = double.Parse(args[1]);
G[i] = new ClassicMembershipFunction(classic1, classic2);
break;
case "gauss":
var gauss1 = double.Parse(args[0]);
var gauss2 = double.Parse(args[1]);
G[i] = new GaussMembershipFunction(gauss1, gauss2);
break;
}
}
}
[TestCase(0, 0, 10, 20, false, 5, 0)] // v NOT f
public void RuleEvaluation_Single_Success(Double a, Double b, Double c, Double d, Boolean IsOp, Double v, Double expectedResult)
{
//Arrange
var conditions = new List <FuzzyRuleCondition>();
var variable = new LinguisticVariable("v");
variable.InputValue = v;
var operatr = new FuzzyRuleToken("is", IsOp ? FuzzyRuleTokenType.Is : FuzzyRuleTokenType.Not);
var function = new TrapezoidMembershipFunction("f", a, b, c, d);
conditions.Add(new FuzzyRuleCondition(variable, operatr, function));
//Act
var srv = new FuzzyRuleEvaluator();
var result = srv.Evaluate(conditions);
//Assert
Assert.That(result, Is.EqualTo(expectedResult));
}
private Double TrapezoidCentroid(TrapezoidMembershipFunction f)
{
var top = f.C - f.B;
var bot = f.D - f.A;
var tm = f.B + (top / 2.0); //top midpoint
var bm = f.A + (bot / 2.0); //bottom midpoint
if (tm == bm)
{
return(tm);
}
//y value for the centroid
var y = ((2.0 * top) + bot) / (top + bot);
y = y / 3.0;
var mRecip = (tm - bm); // mRecip = (1 / m)
var b = (bm / mRecip);
return((y + b) * mRecip);
}
private Double TrapezoidArea(TrapezoidMembershipFunction f, Double centroid)
{
return(((f.C - f.B) + (f.D - f.A)) * f.PremiseModifier);
}
public void CoG_Defuzzify_Trapezoid()
{
var memFunc = new TrapezoidMembershipFunction("mf", 0, 10, 20, 30);
CoG_Defuzzify(memFunc, 15);
}
