C# Class AForge.Fuzzy.MinimumNorm

Minimum Norm, used to calculate the linguistic value of a AND operation.

The minimum Norm uses a minimum operator to compute the AND among two fuzzy memberships.

Sample usage:

// creating 2 fuzzy sets to represent Cool (Temperature) and Near (Distance) TrapezoidalFunction function1 = new TrapezoidalFunction( 13, 18, 23, 28 ); FuzzySet fsCool = new FuzzySet( "Cool", function1 ); TrapezoidalFunction function2 = new TrapezoidalFunction( 23, 28, 33, 38 ); FuzzySet fsNear = new FuzzySet( "Near", function2 ); // getting memberships double m1 = fsCool.GetMembership( 15 ); double m2 = fsNear.GetMembership( 35 ); // computing the membership of "Cool AND Near" MinimumNorm AND = new MinimumNorm( ); double result = AND.Evaluate( m1, m2 ); // show result Console.WriteLine( result );
Inheritance: INorm
Show file Open project: holisticware-admin/MonoVersal.AForgeNET Class Usage Examples

Public Methods

Method Description
Evaluate ( float membershipA, float membershipB ) : float

Calculates the numerical result of the AND operation applied to two fuzzy membership values using the minimum rule.

Method Details

Evaluate() public method

Calculates the numerical result of the AND operation applied to two fuzzy membership values using the minimum rule.
public Evaluate ( float membershipA, float membershipB ) : float
membershipA float A fuzzy membership value, [0..1].
membershipB float A fuzzy membership value, [0..1].
return float