Based on creating the digital scenario matrix of firefighting cases, this paper proposes four matrix-based drive reasoning models including “type -process” drive, “type - problem” drive, “type - countermeasure” drive and “type - lesson” drive, as well as hybrid reasoning model based on multi-base coordination, which will improve the rate and efficiency of matching cases, promote the utilization ratio of cases and accuracy of decision making, so as to lay a solid foundation for scientific decision-making on the firefighting and rescue scene.
CITATION STYLE
Kang, Q., Lu, L., Pan, L., Li, Y., Gao, J., & Lian, D. (2014). Research on reasoning model of firefighting and rescue cases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8597, pp. 56–64). Springer Verlag. https://doi.org/10.1007/978-3-319-11538-2_6
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