A probabilistic convergence structure assigns a probability
that a given filter converges to a given element of the space.
The role of the
t-norm (triangle norm) in the study of
regularity of probabilistic convergence spaces is investigated.
Given a probabilistic convergence space, there exists a finest
T-regular
space which is coarser than the given space, and is referred to as
the `
T-regular modification'. Moreover, for each probabilistic
convergence space, there is a sequence of spaces, indexed by nonnegative
ordinals, whose first term is the given space and whose last term
is its
T-regular modification. The
T-regular modification is
illustrated in the example involving `convergence with probability

' for several
t-norms. Suitable function space structures
in terms of a given
t-norm are also considered.