This study aims at building a general framework for estimating building vulnerability to blast-fragmentation warhead of a missile. Considering the fuzziness and randomness existing in the damage criterion rules, cloud models are applied to represent the qualitative concepts. On the basis of building geometric description, element criticality analysis, blast wave and fragment movement description, and meeting analysis of fragments and target, kill probabilities of the components are estimated by the shot line method. The damage state of the whole building given the threat is obtained by cloud model based uncertainty reasoning and the proposed similarity measure, enabling both randomness of probability reasoning and the fuzziness of the traditional fuzzy logic to be considered. Experimental results demonstrate that the proposed method can provide useful reference for optimizing warhead design and mission efficiency evaluation.
A human-machine cooperative path planning model based on cloud model is proposed in this paper. The system enables
the planner take part in the A* searching process and the cloud model integrates fuzziness with randomness of the
qualitative concept. In the process of human-computer cooperation, the position of the leading field is figured out based
on cloud model; it effectively guides the A* searching process and avoids the drawback of the algorithm. Experiment
results demonstrated the validity and the feasibility of the model. It's much more efficient than either a human or a
computer algorithm in the path planning tasks.
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