Complex systems can be described as systems-of-systems as they comprise a hierarchy of systems. The links between sub-systems are often obscure and non-linear and this results in a lack of a whole-systems view and appropriate understanding of the system. At the core of the research question is the investigation of Bayesian networks as a method to integrate sub-system behaviour in order to evaluate final system performance. The research case study is the measurement of effectiveness of the Frigate Self-Guided weapon system. The results indicate that the method integrates and quantifies links between sub-systems to an extent where questions asked by the end-user can be answered in a quantitative manner
Reference:
de Waal, A. 2006. Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system. CSIR Research and Innovation Conference: 1st CSIR Biennial Conference, CSIR International Convention Centre Pretoria, 27-28 February 2006, pp 14
de Waal, A. (2006). Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system. http://hdl.handle.net/10204/2729
de Waal, A. "Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system." (2006): http://hdl.handle.net/10204/2729
de Waal A, Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system; 2006. http://hdl.handle.net/10204/2729 .