public void createVariables(BasicFuzzyController bfc) throws FunctionException {
/** possible values - Fuzzy sets */
try {
/** Mobile variables */
LinguisticVariable mv1 = new LinguisticVariable("BANDWIDTH");
speedSlow = mv1.addSet("Slow", new TrapezoidalMembershipFunction(0, 5, 11, 16));
speedNormal = mv1.addSet("Normal", new TrapezoidalMembershipFunction(11, 38, 54, 92));
speedFast =
mv1.addSet(
"Fast",
new TrapezoidalMembershipFunction(54, 110, 160, 180)); // trapezoidal case - right
bfc.addVariable(mv1);
LinguisticVariable mv2 = new LinguisticVariable("CPULOAD");
loadLow = mv2.addSet("CPU Low", new TrapezoidalMembershipFunction(0, 9, 18, 36));
loadNormal = mv2.addSet("CPU Normal", new TrapezoidalMembershipFunction(27, 45, 54, 72));
loadHigh = mv2.addSet("CPU High", new TrapezoidalMembershipFunction(63, 81, 90, 100));
bfc.addVariable(mv2);
// n variables can be added (e.g. Memory, etc.)
/** u8 * Cloud variables */
// LinguisticVariable cv1 = new LinguisticVariable("CONNECTIONS");
// connectionsLow = cv1.addSet("Low concurrent users", new TrapezoidalMembershipFunction(0,
// 12, 24, 48));
// connectionsNormal = cv1.addSet("Normal concurrent users", new
// TrapezoidalMembershipFunction(36, 60, 72, 96));
// connectionsHigh = cv1.addSet("High concurrent users",new TrapezoidalMembershipFunction(84,
// 108, 120, 132));
// bfc.addVariable(cv1);
// m variables can be added (e.g. number of servers, etc.)
/** Predictable variables */
LinguisticVariable decision = new LinguisticVariable("OFFLOAD");
localProcessing =
decision.addSet("Local processing", new TrapezoidalMembershipFunction(0, 12, 24, 48));
remoteProcessing =
decision.addSet("Remote processing", new TrapezoidalMembershipFunction(36, 60, 72, 84));
bfc.addVariable(decision);
} catch (IllegalSetException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
// System.out.println("Variables added to the Model");
}
public void createRules(BasicFuzzyController bfc) {
bfc.addRule(FuzzyOp.and(speedSlow, loadLow), localProcessing);
bfc.addRule(FuzzyOp.and(speedSlow, loadNormal), localProcessing);
bfc.addRule(FuzzyOp.and(speedSlow, loadHigh), localProcessing);
bfc.addRule(FuzzyOp.and(speedNormal, loadLow), remoteProcessing);
bfc.addRule(FuzzyOp.and(speedNormal, loadNormal), remoteProcessing);
bfc.addRule(FuzzyOp.and(speedFast, loadLow), remoteProcessing);
bfc.addRule(FuzzyOp.and(speedFast, loadNormal), remoteProcessing);
bfc.addRule(FuzzyOp.and(speedFast, loadLow), remoteProcessing);
}
/** @param args */
public static void main(String[] args) throws FunctionException {
BasicFuzzyController bfc = new BasicFuzzyController();
ExampleFuzzyInference fle = new ExampleFuzzyInference();
fle.createVariables(bfc);
fle.createRules(bfc);
// Here input to value is introduced
bfc.fuzzify("BANDWIDTH", 100);
bfc.fuzzify("CPULOAD", 10);
bfc.fuzzify("CONNECTIONS", 150);
CentroidMethod cm = new CentroidMethod();
cm.setSamplesPoints(10);
bfc.setDefuzzifyerMethod(cm);
System.out.println("Delegate with a grade of truth to: " + bfc.defuzzify("OFFLOAD"));
}