Geodesic
Empirical reconstruction of a fuzzy model and the reduction of
Numerical methods and programming, Tome 12 (2011) no. 2, pp. 220-226

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In the framework of a fuzzy model being refined by test measurements, experimental data are reduced to a form characteristic for measurements made by an ideal measuring device. A model of a measurement error is formulated in terms of fuzzy constraints imposed on its Euclidean norm. The solution of the reduction problem is illustrated by the example of a photosynthetic system when the measured parameters are the amount of the synthesized adenosine triphosphate and the mean concentration of protons and the parameter under estimation is the time period during which the reduced measurements are obtained. The work was supported by the Russian Foundation for Basic Research (projects 11-07-00338, 09-01-96508, and 09-07-00505).
Keywords: mathematical modeling; decision making; analysis and interpretation of data; measurement and computing systems; theory of possibilities; fuzzy element. 
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     title = {Empirical reconstruction of a fuzzy model and the reduction of},
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     publisher = {mathdoc},
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     url = {http://geodesic.mathdoc.fr/item/VMP_2011_12_2_a1/}
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T. A. Kopit; A. I. Chulichkov; D. M. Ustinin. Empirical reconstruction of a fuzzy model and the reduction of. Numerical methods and programming, Tome 12 (2011) no. 2, pp. 220-226. http://geodesic.mathdoc.fr/item/VMP_2011_12_2_a1/