public static Dictionary<NodeInstance, double> PrioritizeNodes(List<NodeInstance> nodes)
{
MamdaniFuzzySystem fsNodeSys = new MamdaniFuzzySystem();
FuzzyVariable fvCPU = new FuzzyVariable("cpu", 0.0, 1);
fvCPU.Terms.Add(new FuzzyTerm("low", new TriangularMembershipFunction(-.50, 0, .50)));
fvCPU.Terms.Add(new FuzzyTerm("med", new TriangularMembershipFunction(0, .50, 1)));
fvCPU.Terms.Add(new FuzzyTerm("high", new TriangularMembershipFunction(.50, 1, 1.5)));
fsNodeSys.Input.Add(fvCPU);
FuzzyVariable fvBandwidth = new FuzzyVariable("bandwidth", 0.0, 1);
fvBandwidth.Terms.Add(new FuzzyTerm("low", new TriangularMembershipFunction(-.50, 0, .50)));
fvBandwidth.Terms.Add(new FuzzyTerm("med", new TriangularMembershipFunction(0, .50, 1)));
fvBandwidth.Terms.Add(new FuzzyTerm("high", new TriangularMembershipFunction(.50, 1, 1.5)));
fsNodeSys.Input.Add(fvBandwidth);
FuzzyVariable fvFreeSpace = new FuzzyVariable("freespace", 0.0, 1);
fvFreeSpace.Terms.Add(new FuzzyTerm("low", new TriangularMembershipFunction(-.5, 0, .5)));
fvFreeSpace.Terms.Add(new FuzzyTerm("moderate", new TriangularMembershipFunction(0, .5, 1)));
fvFreeSpace.Terms.Add(new FuzzyTerm("ample", new TriangularMembershipFunction(.5, 1, 1.5)));
fsNodeSys.Input.Add(fvFreeSpace);
//
// Create output variables for the system
//
FuzzyVariable fvRank = new FuzzyVariable("rank", 0, 1);
fvRank.Terms.Add(new FuzzyTerm("low", new TriangularMembershipFunction(-0.25, 0, 0.25)));
fvRank.Terms.Add(new FuzzyTerm("med_low", new TriangularMembershipFunction(0, 0.25, 0.50)));
fvRank.Terms.Add(new FuzzyTerm("med", new TriangularMembershipFunction(0.25, 0.50, 0.75)));
fvRank.Terms.Add(new FuzzyTerm("med_high", new TriangularMembershipFunction(0.50, 0.75, 1)));
fvRank.Terms.Add(new FuzzyTerm("high", new TriangularMembershipFunction(0.75, 1, 1.25)));
fsNodeSys.Output.Add(fvRank);
MamdaniFuzzyRule rule1 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is high) and (freespace is ample) then rank is med");
MamdaniFuzzyRule rule2 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is high) and (freespace is moderate) then rank is med_low");
MamdaniFuzzyRule rule3 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is high) and (freespace is low) then rank is low");
MamdaniFuzzyRule rule4 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is med) and (freespace is ample) then rank is med_high");
MamdaniFuzzyRule rule5 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is med) and (freespace is moderate) then rank is med_high");
MamdaniFuzzyRule rule6 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is med) and (freespace is low) then rank is med_low");
MamdaniFuzzyRule rule7 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is low) and (freespace is ample) then rank is high");
MamdaniFuzzyRule rule8 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is low) and (freespace is moderate) then rank is med_high");
MamdaniFuzzyRule rule9 = fsNodeSys.ParseRule("if (cpu is low) and (bandwidth is low) and (freespace is low) then rank is med_low");
MamdaniFuzzyRule rule10 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is high) and (freespace is ample) then rank is med");
MamdaniFuzzyRule rule11 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is high) and (freespace is moderate) then rank is med_low");
MamdaniFuzzyRule rule12 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is high) and (freespace is low) then rank is med_low");
MamdaniFuzzyRule rule13 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is med) and (freespace is ample) then rank is med");
MamdaniFuzzyRule rule14 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is med) and (freespace is moderate) then rank is med");
MamdaniFuzzyRule rule15 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is med) and (freespace is low) then rank is low");
MamdaniFuzzyRule rule16 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is low) and (freespace is ample) then rank is med_high");
MamdaniFuzzyRule rule17 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is low) and (freespace is moderate) then rank is med_high");
MamdaniFuzzyRule rule18 = fsNodeSys.ParseRule("if (cpu is med) and (bandwidth is low) and (freespace is low) then rank is low");
MamdaniFuzzyRule rule19 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is high) and (freespace is ample) then rank is med");
MamdaniFuzzyRule rule20 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is high) and (freespace is moderate) then rank is med_low");
MamdaniFuzzyRule rule21 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is high) and (freespace is low) then rank is low");
MamdaniFuzzyRule rule22 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is med) and (freespace is ample) then rank is med");
MamdaniFuzzyRule rule23 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is med) and (freespace is moderate) then rank is med_low");
MamdaniFuzzyRule rule24 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is med) and (freespace is low) then rank is low");
MamdaniFuzzyRule rule25 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is low) and (freespace is ample) then rank is med_low");
MamdaniFuzzyRule rule26 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is low) and (freespace is moderate) then rank is med");
MamdaniFuzzyRule rule27 = fsNodeSys.ParseRule("if (cpu is high) and (bandwidth is low) and (freespace is low) then rank is low");
fsNodeSys.Rules.Add(rule1);
fsNodeSys.Rules.Add(rule2);
fsNodeSys.Rules.Add(rule3);
fsNodeSys.Rules.Add(rule4);
fsNodeSys.Rules.Add(rule5);
fsNodeSys.Rules.Add(rule6);
fsNodeSys.Rules.Add(rule7);
fsNodeSys.Rules.Add(rule8);
fsNodeSys.Rules.Add(rule9);
fsNodeSys.Rules.Add(rule10);
fsNodeSys.Rules.Add(rule11);
fsNodeSys.Rules.Add(rule12);
fsNodeSys.Rules.Add(rule13);
fsNodeSys.Rules.Add(rule14);
fsNodeSys.Rules.Add(rule15);
fsNodeSys.Rules.Add(rule16);
fsNodeSys.Rules.Add(rule17);
fsNodeSys.Rules.Add(rule18);
fsNodeSys.Rules.Add(rule19);
fsNodeSys.Rules.Add(rule20);
fsNodeSys.Rules.Add(rule21);
fsNodeSys.Rules.Add(rule22);
fsNodeSys.Rules.Add(rule23);
fsNodeSys.Rules.Add(rule24);
fsNodeSys.Rules.Add(rule25);
fsNodeSys.Rules.Add(rule26);
fsNodeSys.Rules.Add(rule27);
var rankedNodes = new Dictionary<NodeInstance, double>();
for (int i = 0; i < nodes.Count; i++)
{
//
// Fuzzify input values
//
Dictionary<FuzzyVariable, double> inputValues = new Dictionary<FuzzyVariable, double>();
inputValues.Add(fvCPU, nodes[i].CPU_Utilization);
inputValues.Add(fvBandwidth, nodes[i].UsedBandwidth / nodes[i].MaxBandwidth);
inputValues.Add(fvFreeSpace, nodes[i].FreeSpace / nodes[i].MaxBackupSpace);
//
// Calculate the result
//
Dictionary<FuzzyVariable, double> result = fsNodeSys.Calculate(inputValues);
double rank = result[fvRank];
rankedNodes.Add(nodes[i], rank);
//Console.WriteLine(nodes[i].ToString());
//Console.WriteLine("Rank: " + Math.Round(rank, 2).ToString());
//Console.WriteLine();
}
var sortedNodes
= (from entry in rankedNodes orderby entry.Value descending select entry)
.ToDictionary(pair => pair.Key, pair => pair.Value);
return sortedNodes;
}
public static double GetResult(MamdaniFuzzySystem fuzzySystem, string outputVariable, params KeyValuePair<string, double>[] inputVariables)
{
SerializableDictionary<FuzzyVariable, double> inputValues = new SerializableDictionary<FuzzyVariable, double>();
foreach(KeyValuePair<string, double> entry in inputVariables)
{
inputValues.Add(fuzzySystem.InputByName(entry.Key), entry.Value);
}
Dictionary<FuzzyVariable, double> result = fuzzySystem.Calculate(inputValues);
return result[fuzzySystem.OutputByName(outputVariable)];
}