MembershipFunction-class: MembershipFunction S4 class

In anfis: Adaptive Neuro Fuzzy Inference System in R

Description

Represent a generic virtual S4 MembershipFunction class, for fuzzy further redefinition. The actual subclases available are GaussianMF, NormalizedGaussianMF and BellMF.

Slots

parameters

named numeric vector with parameters of Membership Function.

nParameters

integer with the number of parameters for validity check.

name

character The description of the membership function.

expression

expression object just to display purposes.

Functions

MembershipFunction S4 class includes the following functions:

show/print

generic output of the object.

"[", "[<-"

getter and setter of the parameters values.

evaluateMF

return membership value at x.

derivateMF

return the derivate membership at x.

Note

validity: nParameters == length(parameters) and parameters != NA and names(parameters)!="".

Author(s)

Cristobal Fresno [e-mail], Andrea S. Llera [e-mail] and Elmer A. Fernandez [e-mail]

See Also

BellMF-class, GaussianMF-class or NormalizedGaussianMF-class

Other Membership Functions: BellMF, BellMF-class; GaussianMF, GaussianMF-class; NormalizedGaussianMF, NormalizedGaussianMF-class; [,MembershipFunction-method, [<-,MembershipFunction-method, extract-methods, extract-methods; derivateMF, derivateMF, derivateMF, derivateMF, derivateMF, derivateMF,BellMF-method, derivateMF,GaussianMF-method, derivateMF,MembershipFunction-method, derivateMF,NormalizedGaussianMF-method, derivateMF-methods; evaluateMF, evaluateMF, evaluateMF, evaluateMF, evaluateMF, evaluateMF,BellMF-method, evaluateMF,GaussianMF-method, evaluateMF,MembershipFunction-method, evaluateMF,NormalizedGaussianMF-method, evaluateMF-methods; print,MembershipFunction-method; show,MembershipFunction-method

anfis documentation built on May 2, 2019, 2:38 a.m.