In this paper statistical tests with fuzzily formulated hypotheses are discussed, i.e., hypotheses H <Subscript>0</Subscript> and H <Subscript>1</Subscript> are fuzzy sets. The classical criteria of the errors of type I and type II are generalized, and this approach is applied to the linear hypothesis in the linear regression model. A...</subscript></subscript>