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Vestnik TVGU. Seriya: Prikladnaya Matematika [Herald of Tver State University. Series: Applied Mathematics], 2013, Issue 4, Pages 85–103
(Mi vtpmk152)
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This article is cited in 3 scientific papers (total in 3 papers)
Probabilistic Possibilistic Models
On Solution Methods For Tasks Of Possibilistic-Probabilistic Optimization
A. V. Yazenin, Yegorova Yulia Yevgenyevna Tver State University
Abstract:
The article studies models and methods for solving possibilistic-probabilistic programming tasks where strongest and weakest t-norms are used to describe interaction between parameters of fuzzy optimization model. Different principles of decision making under hybrid possibilistic-probabilistic uncertainty are investigated.
Keywords:
Possibilistic-probabilistic optimization, possibilistic random variable, t-norm, expected value of fuzzy random variable, possibility measure, restrictions on possibility and probability, inderect method, direct method.
Received: 05.09.2013 Revised: 04.10.2013
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