Modelling and control of multi-risk behaviours using probabilistic discrete event systems
by Feng Lin; Xinguang Chen; Wen Chen
International Journal of Automation and Control (IJAAC), Vol. 8, No. 4, 2014

Abstract: In this paper, we introduce a new approach to model multiple social and health risk behaviours using probabilistic discrete event systems (PDES) for control and prevention. We develop a method to model the transition of individual risk behaviour as a PDES process. The parameters of the PDES model can be obtained from either longitudinal survey data or cross-sectional survey data. We then use parallel composition to combine the models for individual behaviours to establish PDES model for multi-risk behaviour. With the established PDES models, Mason's gain formula developed in engineering can be applied to investigate the impacts of control and prevention on multi-risk behaviours and to evaluate the effectiveness of control and prevention strategies.

Online publication date: Fri, 31-Oct-2014

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