?is work proposes a new methodology for the management of event tree information used in the quantitative risk assessment of\r\ncomplex systems. ?e size of event trees increases exponentially with the number of system components and the number of states\r\nthat each component can be found in. ?eir reduction to a manageable set of events can facilitate risk quanti??cation and safety\r\noptimization tasks. ?e proposed method launches a deductive exploitation of the event space, to generate reduced event trees for\r\nlarge multistate systems. ?e approach consists in the simultaneous treatment of large subsets of the tree, rather than focusing on\r\nthe given single components of the system and getting trapped into guesses on their structural arrangement.
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