  A multicriteria economic problem is considered: the basic production assets
and the labor resources define a set of feasible solutions (alternatives),
labor costs, costs of the basic production assets (to be minimized), and cost
of the manufactured products (to be maximized) are objective functions. The
production function with constant elasticity of substitution is used. The
decision maker's (DM's) preferences are introduced as follows: lower labor
costs and costs of the basic production assets have the greater importance than
higher income, and vice a versa. The fuzzy preferences along with the
compromise have a degree of its confidence. Such crisp and fuzzy information is
applied in the axiomatic approach of the Pareto set reduction by V. D. Noghin.
We show how to construct a set, which is an upper bound of the optimal choice
and belongs to the Pareto set of the problem in crisp and fuzzy cases. In fuzzy
case one should solve a three crisp multicriteria problems. Thus, upon the
crisp and fuzzy DM's preferences a narrower upper bounds of the optimal set of
resources with respect to criteria and additional information are obtained.
