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Minimax adjustment technique and fuzzy information

By Bernhard F. Arnold and Peter Stahlecker


AbstractIn 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

Publisher: Published by Elsevier Inc.
Year: 1999
DOI identifier: 10.1016/S0024-3795(97)10005-2
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