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Uncertainty modelling of dynamically reconfigurable systems based on rewriting stochastic reward nets with z-fuzzy parameters

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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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