function

tnorm - Fuzzy Logic S-Norm (OR)

Calling Sequence

y=tnorm( x , class [,class_par] )

Parameters

• x : matrix of real with size [m,n].
• y : matrix of real with size [m,1].
• class : string, t-norm class. The values can be: "dubois" for Dubois-Prade T-Norm, "yager" for Yager T-Norm, "dprod" for drastic product T-Norm, "eprod" for Einstein product T-Norm, "aprod" for algebraic product T-Norm, "min" for minimum S-Norm.
• class_par : scalar, T-Norm class parameter. "dubois" and "yager" class need this parameter.

Description

tnorm compute T-Norm class of x with parameter class_par . The calculation was made taking the j row of x as input and put the resulting value in the j row of y (row oriented calculation).

"dubois" class need 0<=class_par<=1 . "yager" class need class_par>0 .

The tnorm function is defined by:

Examples

x=rand(5,2);
y1=tnorm(x,"dubois",0.5);
y2=tnorm(x,"yager",2);
y3=tnorm(x,"dprod");
y4=tnorm(x,"aprod");
y5=tnorm(x,"min");

See Also

fls_structure ,   snorm ,   newfls ,   scicos_tnorm ,  

Author

Jaime Urzua Grez