Contour function of a Gaussian random fuzzy number
Contour function of a Gaussian random fuzzy number
pl_contour computes the degree of plausibility of any number x for a given Gaussian random fuzzy number.
pl_contour(x, GRFN)
Arguments
x: The input value (can be a vector).
GRFN: A Gaussian random fuzzy number, encoded as a list with components mu, sig and h.
Returns
The degree of plausibility of x.
Details
pl_contour(x,GRFN) returns the same value as Pl(x,x,GRFN), but is more efficient.
Examples
pl<-pl_contour(1,list(mu=2,sig=1,h=2))print(pl)
References
Thierry Denoeux. Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. Fuzzy Sets and Systems, Vol. 453, Pages 1-36, 2023.