It is proposed to simulate quality control by means of one out of three fuzzy numbers used in accordance with the circumstances: the tolerance number as a variety of fuzzy interval, the S number in the form of a rectangular sigmoid, and the Z number in the form of a rectangular zetoid.
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A. M. Rostovtsev, Measurement State and Problems: Proc. of the 10th All-Russia Conf. [in Russian], Izd. MGTU im. N. E. Baumana, Moscow (2008), p. 28.
V. G. Chernov, Principles of Fuzzy-Set Theory. Solving Problems of Multicriterion Selection of Alternatives: A Textbook [in Russian], Izd. Vlad. Gos. Univ., Vladimir (2005).
A. S. Ptuskin, Fuzzy Models and Methods in Management [in Russian], Izd. MGTU im. N. E. Baumana, Moscow (2008).
A. Stepanov, Stand. Kachestvo, No. 1, 84 (2007).
GOST R ISO 9000-2001, Quality Management Systems: Basic Concepts and Dictionary [in Russian].
N. G. Nazarov and N. T. Krushnyak, Izmer. Tekhn., No. 10, 24 (2005); Measur. Techn., 48, No. 10, 969 (2005).
Yu. N. Lyandon, Functional Interchangeability in Engineering [in Russian], Mashinostroenie, Moscow (1967).
V. A. Kopin, V. L. Makarov, and A. M. Rostovtsev, Processing Plastic Components [in Russian], Khimiya, Moscow (1988).
A. M. Rostovtsev, Measurement State and Problems: Proc. of the 9th All-Russia Conf. [in Russian], Izd. MGTU im. N. E. Baumana, Moscow (2004), p. 61.
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Translated from Izmeritel’naya Tekhnika, No. 3, pp. 18–19, March, 2009.
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Rostovtsev, A.M. Mathematically fuzzy approaches to quality control. Meas Tech 52, 231–233 (2009). https://doi.org/10.1007/s11018-009-9260-0
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DOI: https://doi.org/10.1007/s11018-009-9260-0