Exact(60)
taking values in a Banach space.
uniform random variables (RVs), taking values in the interval.
Time delay is modeled as Markov chains taking values in a finite set.
random variables defined on ( Ω, F, P ), taking values in ( R, B ).
where is a Markov process taking values in a finite state space.
multi-state trials taking values in and let Λ be a simple pattern defined on.
Let be the set of all -stopping times taking values in.
where, for integer, with the mod function taking values in the set.
Let be a sequence of mixing fuzzy random sets taking values in.
Let (r(t)) be a right-continuous Markov chain taking values in (mathbb {S}={1,2}).
For, is understood as with the mod function taking values in.
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