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Optimizing a data acquisition system for the nonstationary information energy state by deterministic and fuzzy methods

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Measurement Techniques Aims and scope

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Two problems are formulated and resolved in optimizing nonstationary fuzzy and deterministic systems. The identity between the optimal relationships enables one to assign these system types to a single group.

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References

  1. A. F. Romanchenko, Nonstationary Energy-State Data-Acquisition Systems [in Russian], Ufa (2000).

  2. Kh. G. Asadov and M. Dj. Kerimov, Kontr., Diagnost., No. 11, 33 (2006).

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Correspondence to Kh. G. Asadov.

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Translated from Izmeritel’naya Tekhnika, No. 7, pp. 8–10, July, 2008.

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Asadov, K.G., Nabiev, N.A. Optimizing a data acquisition system for the nonstationary information energy state by deterministic and fuzzy methods. Meas Tech 51, 706–710 (2008). https://doi.org/10.1007/s11018-008-9104-3

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  • DOI: https://doi.org/10.1007/s11018-008-9104-3

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