|
This article is cited in 1 scientific paper (total in 1 paper)
Measurements processing in fuzziness conditions based on multycriterion optimization
Yu. A. Belova, A. L. Zavorotnyya, A. I. Chulichkovb, M. M. Belovac a National Taras Shevchenko University of Kyiv
b M. V. Lomonosov Moscow State University
c G. V. Kurdyumov Institute for Metal Physics, National Academy of Sciences of Ukraine
Abstract:
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.
Received: 09.09.2005
Citation:
Yu. A. Belov, A. L. Zavorotnyy, A. I. Chulichkov, M. M. Belova, “Measurements processing in fuzziness conditions based on multycriterion optimization”, Matem. Mod., 18:11 (2006), 55–60
Linking options:
https://www.mathnet.ru/eng/mm121 https://www.mathnet.ru/eng/mm/v18/i11/p55
|
Statistics & downloads: |
Abstract page: | 476 | Full-text PDF : | 143 | References: | 45 | First page: | 5 |
|