Min Zhu1,2,3,#, Huiyu Jin1,#, Ruxue Chen1, Quanyi Huang2,3, Shaobo Zhong4, Guang Tian1,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1097-1109, 2020, DOI:10.32604/iasc.2020.010140
Abstract In a disaster, mass casualties lead to a surge in demand for medical
services. Some relief actions have been criticized for being ill-adapted to
dominating medical needs. This research established a disaster medical relief
planning model in 3 steps. 1. Establishing the two-level conceptual model.
2. Using the ontology method to describe the hierarchy and relating rules of the
terms and concepts associated with the model. 3. Using an ontology-support casebased reasoning approach to build the case similarity matching process, which can
provide a more efficient system for decision support. A case study validated the
model and demonstrated its usage. More >
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