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Measurements processing in fuzziness conditions based on multycriterion optimization
Matematičeskoe modelirovanie, Tome 18 (2006) no. 11, pp. 55-60 Cet article a éte moissonné depuis la source Math-Net.Ru

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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. 
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     title = {Measurements processing in fuzziness conditions based on multycriterion optimization},
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Yu. A. Belov; A. L. Zavorotnyy; A. I. Chulichkov; M. M. Belova. Measurements processing in fuzziness conditions based on multycriterion optimization. Matematičeskoe modelirovanie, Tome 18 (2006) no. 11, pp. 55-60. http://geodesic.mathdoc.fr/item/MM_2006_18_11_a4/

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