function

snorm - Fuzzy Logic S-Norm (OR)

Calling Sequence

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

Parameters

• x : matrix of real with size [m,n].
• y : matrix of real with size [m,1].
• class : string, s-norm class. The values can be: "dubois" for Dubois-Prade S-Norm, "yager" for Yager S-Norm, "dsum" for drastic sum S-Norm, "esum" for Einstein sum S-Norm, "asum" for algebraic sum S-Norm, "max" for maximum S-Norm.
• class_par : scalar, S-Norm class parameter. "dubois" and "yager" class need this parameter.

Description

snom compute S-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 snorm function is defined by:

Examples

x=rand(5,2);
y1=snorm(x,"dubois",0.5);
y2=snorm(x,"yager",2);
y3=snorm(x,"dsum");
y4=snorm(x,"asum");
y5=snorm(x,"max");

See Also

fls_structure ,   tnorm ,   newfls ,   scicos_snorm ,  

Author

Jaime Urzua Grez