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Mathematical modeling of randomness and fuzziness phenomena in scientific studies. II. Applications

  • Theoretical and Mathematical Physics (Review)
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Moscow University Physics Bulletin Aims and scope

Abstract

This paper considers some elements of the optimal fuzzy decision theory that are similar to the optimal statistical decision theory, in particular, the theory of optimal fuzzy identification and optimal fuzzy hypothesis testing, such as Neyman–Pearson statistical hypothesis testing and optimal fuzzy estimation along with a sequential fuzzy identification algorithm similar to the Wald sequential statistical criterion. Some elements of the fuzzy measuring and computing transducer theory and its applications in the problems of the analysis and interpretation of measurement experiment data are given.

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Authors and Affiliations

  1. Department of Physics, Moscow State University, Moscow, 119991, Russia

    Yu. P. Pyt’ev

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  1. Yu. P. Pyt’ev
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Correspondence to Yu. P. Pyt’ev.

Additional information

ginal Russian Text © Yu.P. Pyt’ev, 2017, published in Vestnik Moskovskogo Universiteta, Seriya 3: Fizika, Astronomiya, 2017, No. 2, pp. 15–28.

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Pyt’ev, Y.P. Mathematical modeling of randomness and fuzziness phenomena in scientific studies. II. Applications. Moscow Univ. Phys. 72, 113–127 (2017). https://doi.org/10.3103/S0027134917010131

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