Belint function

Finds a belief interval centered on mu for a Gaussian random fuzzy number

Belint find an interval of the form [mu-r,mu+r] with specified degree of belief for a Gaussian random fuzzy number.

Belint(level = 0.9, GRFN)

Arguments

• level: The specified degree of belief (between 0 and 1).
• GRFN: A Gaussian random fuzzy number, encoded as a list with components mu, sig and h.

Returns

A vector containing the lower and upper bounds of the interval.

Examples

int<-Belint(0.9,list(mu=2,sig=1,h=2))
print(int)

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.

See Also

Bel, Pl, pl_contour