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Artificial Intelligence and Decision Making, 2023, Issue 4, Pages 38–48
DOI: https://doi.org/10.14357/20718594230404
(Mi iipr46)
 

Computational intelligence

Fuzzy-random processes with orthogonal and independent increments

V. L. Khatskevich, O. A. Makhinova

Russian Air Force Military Educational and Scientific Center of the "N. E. Zhukovskiy and Yu. A. Gagarin Air Force Academy", Voronezh
Abstract: In this paper, random processes with fuzzy states and continuous time are investigated. The main attention is paid to the class of fuzzy random processes with orthogonal and independent increments. The characteristic properties of the variances and covariance functions of such processes are established. Gaussian and Wiener fuzzy random processes, which are analogs of the corresponding real random processes, are considered. The obtained results are based on the properties of fuzzy random variables and the classical results of the theory of real random processes with orthogonal and independent increments. Examples characterize the possibility of applying the developed theory to fuzzy-random processes of a triangular type.
Keywords: fuzzy random processes with orthogonal and independent increments, Gaussian and Wiener fuzzy random processes.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. L. Khatskevich, O. A. Makhinova, “Fuzzy-random processes with orthogonal and independent increments”, Artificial Intelligence and Decision Making, 2023, no. 4, 38–48
Citation in format AMSBIB
\Bibitem{KhaMak23}
\by V.~L.~Khatskevich, O.~A.~Makhinova
\paper Fuzzy-random processes with orthogonal and independent increments
\jour Artificial Intelligence and Decision Making
\yr 2023
\issue 4
\pages 38--48
\mathnet{http://mi.mathnet.ru/iipr46}
\crossref{https://doi.org/10.14357/20718594230404}
\elib{https://elibrary.ru/item.asp?id=56928400}
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