Minimax adjustment technique and fuzzy information

In this paper the minimax adjustment technique is generalized to fuzzy info rmation sets. Using a quadratic loss function and specific ellipsoidal cons traints the case of fuzzy information can be reduced to the case of crisp i nformation. Here, the minimax adjustment technique is equivalent to a proje ction method; furthermore, a characterization of the solution is given bein g not far away from an explicit representation, Applications to statistics and to economics are presented. (C) 1999 Published by Elsevier Science Inc. All rights reserved.