This article is cited in 2 papers

Stochastic penalty method in problems of probabilistic-probabilistic programming

Yu. E. Egorova

Tver State University, Tver

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.

UDC: 510.676, 519.7

Received: 15.04.2019
Revised: 03.06.2019

DOI: 10.26456/fssc53

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