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Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system

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dc.contributor.author de Waal, A
dc.date.accessioned 2008-12-12T07:20:44Z
dc.date.available 2008-12-12T07:20:44Z
dc.date.issued 2006-02-27
dc.identifier.citation 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 en
dc.identifier.uri http://hdl.handle.net/10204/2729
dc.description CSIR Research and Innovation Conference: 1st CSIR Biennial Conference, CSIR International Convention Centre Pretoria, 27-28 February 2006 en
dc.description.abstract 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 en
dc.language.iso en en
dc.subject Complex systems modelling en
dc.subject Bayesian networks en
dc.subject Weapon system performance measurement en
dc.title Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system en
dc.type Conference Presentation en
dc.identifier.apacitation de Waal, A. (2006). Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system. http://hdl.handle.net/10204/2729 en_ZA
dc.identifier.chicagocitation de Waal, A. "Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system." (2006): http://hdl.handle.net/10204/2729 en_ZA
dc.identifier.vancouvercitation de Waal A, Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system; 2006. http://hdl.handle.net/10204/2729 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - de Waal, A AB - 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 DA - 2006-02-27 DB - ResearchSpace DP - CSIR KW - Complex systems modelling KW - Bayesian networks KW - Weapon system performance measurement LK - https://researchspace.csir.co.za PY - 2006 T1 - Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system TI - Integrated systems understanding using bayesian networks: measuring the effectiveness of a weapon system UR - http://hdl.handle.net/10204/2729 ER - en_ZA


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