This class represents a Fuzzy Inference System.

A Fuzzy Inference System is a model capable of executing fuzzy computing. It is mainly composed by a Database with the linguistic variables (see LinguisticVariable) and a Rulebase with the fuzzy rules (see Rule) that represent the behavior of the system. The typical operation of a Fuzzy Inference System is: Get the numeric inputs; Use the Database with the linguistic variables (see LinguisticVariable) to obtain linguistic meaning for each numerical input; Verify which rules (see Rule) of the Rulebase are activated by the input; Combine the consequent of the activated rules to obtain a FuzzyOutput; Use some defuzzifier (see IDefuzzifier) to obtain a numerical output.

The following sample usage is a Fuzzy Inference System that controls an auto guided vehicle avoing frontal collisions:

// linguistic labels (fuzzy sets) that compose the distances FuzzySet fsNear = new FuzzySet( "Near", new TrapezoidalFunction( 15, 50, TrapezoidalFunction.EdgeType.Right ) ); FuzzySet fsMedium = new FuzzySet( "Medium", new TrapezoidalFunction( 15, 50, 60, 100 ) ); FuzzySet fsFar = new FuzzySet( "Far", new TrapezoidalFunction( 60, 100, TrapezoidalFunction.EdgeType.Left ) ); // front distance (input) LinguisticVariable lvFront = new LinguisticVariable( "FrontalDistance", 0, 120 ); lvFront.AddLabel( fsNear ); lvFront.AddLabel( fsMedium ); lvFront.AddLabel( fsFar ); // linguistic labels (fuzzy sets) that compose the angle FuzzySet fsZero = new FuzzySet( "Zero", new TrapezoidalFunction( -10, 5, 5, 10 ) ); FuzzySet fsLP = new FuzzySet( "LittlePositive", new TrapezoidalFunction( 5, 10, 20, 25 ) ); FuzzySet fsP = new FuzzySet( "Positive", new TrapezoidalFunction( 20, 25, 35, 40 ) ); FuzzySet fsVP = new FuzzySet( "VeryPositive", new TrapezoidalFunction( 35, 40, TrapezoidalFunction.EdgeType.Left ) ); // angle LinguisticVariable lvAngle = new LinguisticVariable( "Angle", -10, 50 ); lvAngle.AddLabel( fsZero ); lvAngle.AddLabel( fsLP ); lvAngle.AddLabel( fsP ); lvAngle.AddLabel( fsVP ); // the database Database fuzzyDB = new Database( ); fuzzyDB.AddVariable( lvFront ); fuzzyDB.AddVariable( lvAngle ); // creating the inference system InferenceSystem IS = new InferenceSystem( fuzzyDB, new CentroidDefuzzifier( 1000 ) ); // going Straight IS.NewRule( "Rule 1", "IF FrontalDistance IS Far THEN Angle IS Zero" ); // Turning Left IS.NewRule( "Rule 2", "IF FrontalDistance IS Near THEN Angle IS Positive" ); ... // inference section // setting inputs IS.SetInput( "FrontalDistance", 20 ); // getting outputs try { float newAngle = IS.Evaluate( "Angle" ); } catch ( Exception ) { ... }
InferenceSystem Class Documentation
コード例 #1
0
ファイル: MainForm.cs プロジェクト: accord-net/framework 
        // Hardcode initializing the Fuzzy Inference System
        void InitFuzzyEngine()
        {

            // Linguistic labels (fuzzy sets) that compose the distances
            FuzzySet fsNear = new FuzzySet("Near", new TrapezoidalFunction(15, 50, TrapezoidalFunction.EdgeType.Right));
            FuzzySet fsMedium = new FuzzySet("Medium", new TrapezoidalFunction(15, 50, 60, 100));
            FuzzySet fsFar = new FuzzySet("Far", new TrapezoidalFunction(60, 100, TrapezoidalFunction.EdgeType.Left));

            // Right Distance (Input)
            LinguisticVariable lvRight = new LinguisticVariable("RightDistance", 0, 120);
            lvRight.AddLabel(fsNear);
            lvRight.AddLabel(fsMedium);
            lvRight.AddLabel(fsFar);

            // Left Distance (Input)
            LinguisticVariable lvLeft = new LinguisticVariable("LeftDistance", 0, 120);
            lvLeft.AddLabel(fsNear);
            lvLeft.AddLabel(fsMedium);
            lvLeft.AddLabel(fsFar);

            // Front Distance (Input)
            LinguisticVariable lvFront = new LinguisticVariable("FrontalDistance", 0, 120);
            lvFront.AddLabel(fsNear);
            lvFront.AddLabel(fsMedium);
            lvFront.AddLabel(fsFar);

            // Linguistic labels (fuzzy sets) that compose the angle
            FuzzySet fsVN = new FuzzySet("VeryNegative", new TrapezoidalFunction(-40, -35, TrapezoidalFunction.EdgeType.Right));
            FuzzySet fsN = new FuzzySet("Negative", new TrapezoidalFunction(-40, -35, -25, -20));
            FuzzySet fsLN = new FuzzySet("LittleNegative", new TrapezoidalFunction(-25, -20, -10, -5));
            FuzzySet fsZero = new FuzzySet("Zero", new TrapezoidalFunction(-10, 5, 5, 10));
            FuzzySet fsLP = new FuzzySet("LittlePositive", new TrapezoidalFunction(5, 10, 20, 25));
            FuzzySet fsP = new FuzzySet("Positive", new TrapezoidalFunction(20, 25, 35, 40));
            FuzzySet fsVP = new FuzzySet("VeryPositive", new TrapezoidalFunction(35, 40, TrapezoidalFunction.EdgeType.Left));

            // Angle
            LinguisticVariable lvAngle = new LinguisticVariable("Angle", -50, 50);
            lvAngle.AddLabel(fsVN);
            lvAngle.AddLabel(fsN);
            lvAngle.AddLabel(fsLN);
            lvAngle.AddLabel(fsZero);
            lvAngle.AddLabel(fsLP);
            lvAngle.AddLabel(fsP);
            lvAngle.AddLabel(fsVP);

            // The database
            Database fuzzyDB = new Database();
            fuzzyDB.AddVariable(lvFront);
            fuzzyDB.AddVariable(lvLeft);
            fuzzyDB.AddVariable(lvRight);
            fuzzyDB.AddVariable(lvAngle);

            // Creating the inference system
            IS = new InferenceSystem(fuzzyDB, new CentroidDefuzzifier(1000));

            // Going Straight
            IS.NewRule("Rule 1", "IF FrontalDistance IS Far THEN Angle IS Zero");
            // Going Straight (if can go anywhere)
            IS.NewRule("Rule 2", "IF FrontalDistance IS Far AND RightDistance IS Far AND LeftDistance IS Far THEN Angle IS Zero");
            // Near right wall
            IS.NewRule("Rule 3", "IF RightDistance IS Near AND LeftDistance IS Not Near THEN Angle IS LittleNegative");
            // Near left wall
            IS.NewRule("Rule 4", "IF RightDistance IS Not Near AND LeftDistance IS Near THEN Angle IS LittlePositive");
            // Near front wall - room at right
            IS.NewRule("Rule 5", "IF RightDistance IS Far AND FrontalDistance IS Near THEN Angle IS Positive");
            // Near front wall - room at left
            IS.NewRule("Rule 6", "IF LeftDistance IS Far AND FrontalDistance IS Near THEN Angle IS Negative");
            // Near front wall - room at both sides - go right
            IS.NewRule("Rule 7", "IF RightDistance IS Far AND LeftDistance IS Far AND FrontalDistance IS Near THEN Angle IS Positive");
        }