/**
* Checks the type of all the fuzzy sets.
*
* @param l The list where the fuzzy sets are.
* @return 1 if all discrete, 2 if all piecewise, 3 if all continuous or 0 if all the sets are not
* the same type.
*/
public static int allType(LogoList l) {
int discrete = 0;
int piecewise = 0;
int continuous = 0;
// Count the type of all the fuzzy sets inside the list
for (Object o : l) {
FuzzySet f = (FuzzySet) o;
if (f.isContinuous()) {
if (f instanceof PiecewiseLinearSet) {
piecewise++;
}
continuous++;
} else {
discrete++;
}
}
// If all the sets of the list are discrete return 1
if (discrete == l.size()) {
return 1;
}
// If all the sets of the list are piecewise return 2
// Check first piecewise linear cause piecewise linear is also
// continuous
if (piecewise == l.size()) {
return 2;
}
// If all the sets of the list are continuous return 3
if (continuous == l.size()) {
return 3;
}
// If the sets are mixed return 0;
return 0;
}
/**
* Calculate the parameters and the universe of continuous sets.
*
* @param l Logolist containing all the fuzzysets.
* @return A tuple containing the resulting parameters(List<FuzzySet>) and the universe(double[]).
*/
public static Tuple<FuzzySet> continuousParamsUniverse(LogoList l) {
List<FuzzySet> params = new ArrayList<FuzzySet>();
// Get and add the first fuzzy set
FuzzySet f = (FuzzySet) l.first();
params.add(f);
// Get the universe of the first fuzzy set
double[] universe = f.getUniverse();
// Iterate over all the fuzzy sets
for (int i = 1; i < l.size(); i++) {
// Add fuzzy sets as parameters to the new set
f = (FuzzySet) l.get(i);
params.add(f);
// Calculate the new universe
universe = DegreeOfFulfillment.andInterval(universe, f.getUniverse());
}
return new Tuple<FuzzySet>(params, universe);
}
/**
* This method respond to the call from Netlogo and returns the middle of the maximum values of a
* fuzzy set.
*
* @param arg0 Arguments from Netlogo call, in this case a list.
* @param arg1 Context of Netlogo when the call was done.
* @return A number with the middle of maxima of the fuzzy set.
*/
@Override
public Object report(Argument[] arg0, Context arg1) throws ExtensionException, LogoException {
FuzzySet f = (FuzzySet) arg0[0].get();
double[] universe = f.getUniverse();
double maximum = Double.NEGATIVE_INFINITY;
double maximum2 = Double.NEGATIVE_INFINITY;
double maxVal = Double.NEGATIVE_INFINITY;
boolean twoMax = false;
// If universe empty
if (universe.length == 0) {
new ExtensionException("You have tried to compute the FOM of an empty set");
}
// If continuous but not piecewise
if (f.isContinuous() && !(f instanceof PiecewiseLinearSet)) {
// First number to evaluate
double x = universe[0];
// Number of points to evaluate(Depends on resolution)
double steps =
Math.floor(1 + ((universe[1] - universe[0]) * SupportFunctions.getResolution()));
double eval = 0;
for (int i = 0; i < steps; i++) {
eval = f.evaluate(x);
// if bigger than the stored max value, save the x, update max
// value and set false the two-maximum-found boolean
if (eval > maxVal) {
maximum = x;
maxVal = eval;
twoMax = false;
} else if (eval == maxVal) { // if equal to the stored max value,
// save the x in the second maximum
// and set the boolean to true
maximum2 = x;
twoMax = true;
}
// Increment 1/Resolution times
x = x + (1 / SupportFunctions.getResolution());
}
} else {
PointSet ps = (PointSet) f;
for (double[] point : ps.getParameters()) {
double y = point[1];
// if bigger than the stored max value, save the x, update max
// value and set false the two-maximum-found boolean
if (y > maxVal) {
maximum = point[0];
maxVal = y;
twoMax = false;
} else if (y == maxVal) { // if equal to the stored max value,
// save the x in the second maximum
// and set the boolean to true
maximum2 = point[0];
twoMax = true;
}
}
}
if (twoMax) {
return (maximum + maximum2) / 2;
} else {
return maximum;
}
}
