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)]; }