Fuzzy modeling for intelligent decision making under uncertainty

We consider here the problem of decision making under uncertainty. We suggest an approach for the construction of decision functions which allow for the inclusion of probabilistic information as well as for the inclusion of information about the decision maker´s attitude and preferences. Use is made of the fuzzy modeling technology to construct these functions from specifications provided by the decision maker