Analysis and Modelling of the Underground Tunnel Planning in Uncertainty Conditions

N. D. Pankratova,Vladimir Pankratov, Danylo Musiienko

Studies in computational intelligence(2023)

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摘要
Analysis and modeling of underground tunnel planning under uncertainty for megacities based on the use of foresight and cognitive modeling methodologies are proposed. The use of foresight methodology makes it possible to construct alternative scenarios with quantitative characteristics, which are input data for cognitive modeling. An algorithm is created to build a numerically stable cognitive map, the vertices of which contain reliable data from the foresight stage. The application of cognitive impulse modeling makes it possible to build scenarios for underground tunnels, taking into account uncertainties of various kinds, to analyze the impact of any threats types on them, to select the more reliable ones and justify of their creation priority.
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关键词
underground tunnel planning,uncertainty conditions
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