We consider here the problem of decision making under uncertainty. We sugge
st an approach for the construction of decision functions which allow for t
he inclusion of probabilistic information as well as for the inclusion of i
nformation about the decision maker's attitude and preferences. Use is made
of the fuzzy modeling technology to construct these functions from specifi
cations provided by the decision maker.