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 SM ISO690:2012MORARU, Victor, GUŢULEAC, Emilian, ZAPOROJAN, Sergiu. Uncertainty modelling of dynamically reconfigurable systems based on rewriting stochastic reward nets with z-fuzzy parameters. In: Computer Science Journal of Moldova, 2021, nr. 3(87), pp. 388-406. ISSN 1561-4042. |
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  Computer Science Journal of Moldova |
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| Numărul 3(87) / 2021 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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| CZU: 519.71+519.816:004.94 | ||||||
| Pag. 388-406 | ||||||
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| Rezumat | ||||||
This paper presents the descriptive compositional approach for uncertainty modelling and performance evaluation of dynamic reconfigurable discrete event systems (ReDES) using rewriting stochastic reward nets (ReSRN) with Z-fuzzy parameters (FReSRN) that can modify in run-time their own structure by the rewriting of the rules. The expected Z-fuzzy values of the transition and rewriting rule firing rates are calculated based on credibility theory, the FReSRN model is degenerated to a conventional ReSRN model. A case study for performance modelling and analysis of particular ReDES is given in order to show the effectiveness of the proposed method. |
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| Cuvinte-cheie Discrete event systems, Petri nets, dynamic reconfiguration, fuzzy parameters, model composition, performance modelling, rewriting rules, stochastic reward networks |
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