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Nechetkie Sistemy i Myagkie Vychisleniya, 2021, Volume 16, Issue 1, Pages 21–33
DOI: https://doi.org/10.26456/fssc77 (Mi fssc77) 		 
On a method of solving of possibilistic-probabilistic programming problems

Yu. E. Egorova

Tver State University, Tver
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DOI: https://doi.org/10.26456/fssc77
Abstract: The paper studies possibilistic-probabilistic optimization problems, based on the principle of expected possibility, and a method for solving its stochastic analogue in the case of the weakest t-norm describing the interaction of fuzzy parameters. The conditions that are easier to verify and ensure the convergence of the method of stochastic quasigradients of the solution of an equivalent stochastic analog are obtained.
Keywords: possitbilistic-probabilistic optimization, stochastic quasi-gradient method, fuzzy random variable, the weakest t-norm.
Funding agency Grant number
Russian Foundation for Basic Research 20-01-00669-а
Received: 25.12.2020
Revised: 06.05.2021
Bibliographic databases:
Document Type: Article
UDC: 510.676, 519.7
Language: Russian
Citation: Yu. E. Egorova, “On a method of solving of possibilistic-probabilistic programming problems”, Nechetkie Sistemy i Myagkie Vychisleniya, 16:1 (2021), 21–33
Citation in format AMSBIB
\Bibitem{Ego21}
\by Yu.~E.~Egorova
\paper On a method of solving of possibilistic-probabilistic programming problems
\jour Nechetkie Sistemy i Myagkie Vychisleniya
\yr 2021
\vol 16
\issue 1
\pages 21--33
\mathnet{http://mi.mathnet.ru/fssc77}
\crossref{https://doi.org/10.26456/fssc77}
\elib{https://elibrary.ru/item.asp?id=46558468}
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