Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Yu. P. Pyt'ev"'
Autor:
D. A. Balakin, Yu. P. Pyt’ev
Publikováno v:
Pattern Recognition and Image Analysis. 32:729-742
Publikováno v:
Pattern Recognition and Image Analysis. 32:743-754
Autor:
D. A. Balakin, Yu. P. Pyt’ev
Publikováno v:
Pattern Recognition and Image Analysis. 31:601-607
Publikováno v:
Pattern Recognition and Image Analysis. 29:577-591
The problems of empirical reconstruction of the subjective model of a research object (RO), the subjective model of its measurements, their subjective analysis, and subjective interpretation of the measurement data are considered. To solve these prob
Autor:
D. A. Balakin, Yu. P. Pyt’ev
Publikováno v:
Matematicheskoe modelirovanie. 30:84-110
This paper considers an application of the mathematical formalism of subjective modeling to improve the quality of the interpretation of measurement data given incomplete and unreliable subjective information about the research object. It is shown th
Autor:
Yu. P. Pyt’ev
Publikováno v:
Moscow University Physics Bulletin. 73:1-16
mathematical formalism for subjective modeling, based on modelling of uncertainty, reflecting unreliability of subjective information and fuzziness that is common for its content. The model of subjective judgments on values of an unknown parameter x
Autor:
Yu. P. Pyt’ev
Publikováno v:
Pattern Recognition and Image Analysis. 27:213-233
The paper considers the mathematical formalism of the subjective modeling of uncertainty and ambiguity categories reflecting the incompleteness and inaccuracy of the information used in construction of a subjective morphological model. Some examples
Autor:
Yu. P. Pyt’ev, D. A. Balakin
Publikováno v:
Moscow University Physics Bulletin. 72:101-112
In this article, several known and new methods of solving the measurement data interpretation problem for probabilistic and possibilistic measurement models are compared and the dependency of their quality on the completeness and accuracy of the meas
Autor:
Yu. P. Pyt’ev
Publikováno v:
Moscow University Physics Bulletin. 72:113-127
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–Pear
Autor:
Yu. P. Pyt’ev
Publikováno v:
Moscow University Physics Bulletin. 72:1-15
The possibility theory as a mathematical model of randomness and fuzziness phenomena is considered in a variant that enables the modeling of both probabilistic randomness, including that inherent in unpredictably evolving stochastic objects whose pro