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Mahematically fuzzy summation and optimization of measurement errors in a technological operation

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Measurement Techniques Aims and scope

The paper discusses mathematically fuzzy summation of measurement errors in a technological operation on rules that differ from those usually employed for additive or quadratic summation. To optimize the errors, a linear programming method is proposed with control variables in the form of carriers of these errors. As in the mathematically nonfuzzy case, two self-conjugate optimization methods are employed: functional and economic.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, Moscow, Russia

    A. M. Rostovtsev

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  1. A. M. Rostovtsev
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Correspondence to A. M. Rostovtsev.

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Paper written on the basis of the report presented at the 10th All-Russia Conference on Measurement State and Problems, which was held at the Bauman Moscow State Technical University in April 2008 (see selection of articles in Measurement Techniques, Nos. 10 and 11 (2008)).

Translated from Izmeritel’naya Tekhnika, No. 2, pp. 12–17, February, 2009.

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Rostovtsev, A.M. Mahematically fuzzy summation and optimization of measurement errors in a technological operation. Meas Tech 52, 125–133 (2009). https://doi.org/10.1007/s11018-009-9244-0

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  • DOI: https://doi.org/10.1007/s11018-009-9244-0

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