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Fuzzy Systems and Soft Computing, 2019, Volume 14, Issue 1, Pages 64–74
DOI: https://doi.org/10.26456/fssc53 (Mi fssc53) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Stochastic penalty method in problems of probabilistic-probabilistic programming

Yu. E. Egorova

Tver State University, Tver
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DOI: https://doi.org/10.26456/fssc53
Abstract: The paper studies possibilistic-probabilistic optimization problems in the case of the weakest (drastic) $t$-norm. The stochastic penalty method is proposed to solve problems of the such class. A numerical example is provided.
Keywords: possitbilistic-probabilistic optimization, stochastic penalty method, fuzzy random variable, the weakest $t$-norm.
Received: 15.04.2019
Revised: 03.06.2019
Bibliographic databases:
Document Type: Article
UDC: 510.676, 519.7
Language: Russian
Citation: Yu. E. Egorova, “Stochastic penalty method in problems of probabilistic-probabilistic programming”, Fuzzy Systems and Soft Computing, 14:1 (2019), 64–74
Citation in format AMSBIB
\Bibitem{Ego19}
\by Yu.~E.~Egorova
\paper Stochastic penalty method in problems of probabilistic-probabilistic programming
\jour Fuzzy Systems and Soft Computing
\yr 2019
\vol 14
\issue 1
\pages 64--74
\mathnet{http://mi.mathnet.ru/fssc53}
\crossref{https://doi.org/10.26456/fssc53}
\elib{https://elibrary.ru/item.asp?id=38508818}
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  • https://www.mathnet.ru/eng/fssc/v14/i1/p64
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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