dc.contributor.author | MORARU, Victor | |
dc.contributor.author | GUŢULEAC, Emilian | |
dc.contributor.author | ZAPOROJAN, Sergiu | |
dc.date.accessioned | 2022-03-02T11:57:06Z | |
dc.date.available | 2022-03-02T11:57:06Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | MORARU, 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, V. 29, N. 3(87), pp. 388-406. ISSN 1561-4042. | en_US |
dc.identifier.issn | 1561-4042 | |
dc.identifier.uri | https://doaj.org/article/a8683fe26d044edba8351771a02baded | |
dc.identifier.uri | http://repository.utm.md/handle/5014/19518 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | discrete event systems | en_US |
dc.subject | stochastic reward nets | en_US |
dc.subject | Petri nets | en_US |
dc.title | Uncertainty modelling of dynamically reconfigurable systems based on rewriting stochastic reward nets with z-fuzzy parameters | en_US |
dc.type | Article | en_US |
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