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

Computer Science Journal of Moldova

Sergiu Zaporojan¹  Victor Moraru¹  Emilian Guţuleac¹ 

[1] Technical University of Moldova168, Stefan cel Mare Bd., MD-2004, Chisinau, Republic of Moldova;

关键词: discrete event systems;    petri nets;    dynamic reconfiguration;    fuzzy parameters;    model composition;    performance modelling;    rewriting rules;    stochastic reward networks;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown