The work is devoted to the modeling of measuring-calculating systems with superhigh resolution in the frame of the "device + PC = new advantages" conception. A new mathematical method, which is based on the reduction of fuzzy noised measurements, for solving a wide class of multicriterial optimization tasks is developed. Within the possibility-theoretic approach, a new notion of the necessity of the correct estimation of a fuzzy value is introduced. The method for a preliminary estimation of the consistency of the proposed evaluating strategy for the output of a device is given. Authors' results are compared with those derived within the probability-theoretic approach.

• Заворотний Андрій Леонідович (фізико-математичні науки)

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