lygroup / cs-fuzzy-logic

Package provides C# implementation of fuzzy logic system

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cs-fuzzy-logic

Package provides C# implementation of fuzzy logic system

Build Status

Install

Run the following command to install:

Install-Package cs-fuzzy-logic

Usage

using FuzzyLogic;
using FuzzyLogic.Memberships;

RuleInferenceEngine rie = new RuleInferenceEngine();

FuzzySet output = new FuzzySet("Output", -100, 100, 1);
output.AddMembership("Cooling", new FuzzyReverseGrade(-50, 0));
output.AddMembership("Zero", new FuzzyTriangle(-50, 0, 50));
output.AddMembership("Heating", new FuzzyGrade(0, 50));
rie.AddFuzzySet(output.Name, output);

FuzzySet tempError = new FuzzySet("Temperature Error", -4, 4, 0.05);
tempError.AddMembership("Negative", new FuzzyReverseGrade(-2, 0));
tempError.AddMembership("Zero", new FuzzyTriangle(-2, 0, 2));
tempError.AddMembership("Positive", new FuzzyGrade(0, 2));
rie.AddFuzzySet(tempError.Name, tempError);


FuzzySet tempErrorDot = new FuzzySet("Temperature Error", -10, 10, 0.1);
tempErrorDot.AddMembership("Negative", new FuzzyReverseGrade(-5, 0));
tempErrorDot.AddMembership("Zero", new FuzzyTriangle(-5, 0, 5));
tempErrorDot.AddMembership("Positive", new FuzzyGrade(0, 5));
rie.AddFuzzySet(tempErrorDot.Name, tempErrorDot);

/*
1. If (e < 0) AND (er < 0) then Cool 0.5 & 0.0 = 0.0
2. If (e = 0) AND (er < 0) then Heat 0.5 & 0.0 = 0.0
3. If (e > 0) AND (er < 0) then Heat 0.0 & 0.0 = 0.0
4. If (e < 0) AND (er = 0) then Cool 0.5 & 0.5 = 0.5
5. If (e = 0) AND (er = 0) then No_Chng 0.5 & 0.5 = 0.5
6. If (e > 0) AND (er = 0) then Heat 0.0 & 0.5 = 0.0
7. If (e < 0) AND (er > 0) then Cool 0.5 & 0.5 = 0.5
8. If (e = 0) AND (er > 0) then Cool 0.5 & 0.5 = 0.5
9. If (e > 0) AND (er > 0) then Heat 0.0 & 0.5 = 0.0
*/

Rule rule = new Rule("Rule 1");
rule.AddAntecedent(new Clause(tempError, "Is", "Negative"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Negative"));
rule.Consequent = new Clause(output, "Is", "Cooling");
rie.AddRule(rule);

rule = new Rule("Rule 2");
rule.AddAntecedent(new Clause(tempError, "Is", "Zero"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Negative"));
rule.Consequent = new Clause(output, "Is", "Heating");
rie.AddRule(rule);

rule = new Rule("Rule 3");
rule.AddAntecedent(new Clause(tempError, "Is", "Positive"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Negative"));
rule.Consequent = new Clause(output, "Is", "Heating");
rie.AddRule(rule);

rule = new Rule("Rule 4");
rule.AddAntecedent(new Clause(tempError, "Is", "Negative"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Zero"));
rule.Consequent = new Clause(output, "Is", "Cooling");
rie.AddRule(rule);

rule = new Rule("Rule 5");
rule.AddAntecedent(new Clause(tempError, "Is", "Zero"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Zero"));
rule.Consequent = new Clause(output, "Is", "Zero");
rie.AddRule(rule);

rule = new Rule("Rule 6");
rule.AddAntecedent(new Clause(tempError, "Is", "Positive"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Zero"));
rule.Consequent = new Clause(output, "Is", "Heating");
rie.AddRule(rule);

rule = new Rule("Rule 7");
rule.AddAntecedent(new Clause(tempError, "Is", "Negative"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Positive"));
rule.Consequent = new Clause(output, "Is", "Cooling");
rie.AddRule(rule);

rule = new Rule("Rule 8");
rule.AddAntecedent(new Clause(tempError, "Is", "Zero"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Positive"));
rule.Consequent = new Clause(output, "Is", "Cooling");
rie.AddRule(rule);

rule = new Rule("Rule 9");
rule.AddAntecedent(new Clause(tempError, "Is", "Positive"));
rule.AddAntecedent(new Clause(tempErrorDot, "Is", "Positive"));
rule.Consequent = new Clause(output, "Is", "Heating");
rie.AddRule(rule);

tempError.X = -1.0;
WriteLine("For Temperature Error: {0}", tempError.X);
WriteLine("Negative: " + tempError.GetMembership("Negative").degree(-1.0));
WriteLine("Zero: " + tempError.GetMembership("Zero").degree(-1.0));
WriteLine("Positive: " + tempError.GetMembership("Positive").degree(-1.0));

tempErrorDot.X = 2.5;
WriteLine("For Temperature Error Dot: {0}", tempErrorDot.X);
WriteLine("Negative: " + tempErrorDot.GetMembership("Negative").degree(2.5));
WriteLine("Zero: " + tempErrorDot.GetMembership("Zero").degree(2.5));
WriteLine("Positive: " + tempErrorDot.GetMembership("Positive").degree(2.5));

rie.Infer(output);

WriteLine("output: " + output.X);

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Package provides C# implementation of fuzzy logic system

License:MIT License


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