Measurements processing in fuzziness conditions based on multycriterion optimization

Within the theory of possibilities approach the new method of measurements' reduction to certain device's output is developed for the case when data errors satisfy the principle: the bigger norm of the error, the less its possibility. The set of pareto-optimum estimations of both unknown signal and certain device's output on the signal is gotten. Obtained estimations' consistency analysis is made.