Minimax adjustment technique and fuzzy information Original Research Article

In this paper the minimax adjustment technique is generalized to fuzzy information sets. Using a quadratic loss function and specific ellipsoidal constraints the case of fuzzy information can be reduced to the case of crisp information. Here, the minimax adjustment technique is equivalent to a projection method: furthermore, a characterization of the solution is given being not far away from an explicit representation. Applications to statistics and to economics are presented.