A Heuristic Methodology for Efficient Reduction of Large Multistate Event Trees

摘要: This work proposes a new methodology for the management of event tree information used in quantitative risk assessment complex systems. The size trees increases exponentially with number system components and states that each component can be found in. Their reduction to manageable set events facilitate quantification safety optimization tasks. The proposed method launches deductive exploitation space, generate reduced large multistate approach consists simultaneous treatment subsets tree, rather than focusing on given single getting trapped into guesses their structural arrangement.