Considers the problem of risk-equivalence of two statistical procedures for statistical decision problems. The crucial argument is based on rewriting risk-equivalence in terms of Choquet's integral representation theorem. It is shown that for certain special cases that do not fulfill the assumptions of the Main Theorem, risk-equivalence holds at least partially. (RC)