Case-based Reasoning in Avian Influenza Risk Early Warning

摘要：

Techniques to predict epidemic diseases and generate early warnings are widely studied in current complex environments. Case-based reasoning (CBR) has advantages of using past experience to generate warnings for new situations. This paper presents a method by using CBR to map risks of avian influenza transmission of obscure reasons. This method applies fuzzy logic into CBR and combines CBR with expert rules to improve capacities of risk predictions. An illustrative system shows how to conduct risk prediction based on previous influenza cases, poultry trade history, and migratory birds movement information.

关键词： Avian influenza early warning systems risk analysis case-based reasoning

作者: Jie Zhang Weiqing Yin Narisorn Pongpanich Jie Lu Guangquan Zhang

作者单位: Faculty of Engineering and Information Technology,University of Technology Sydney PO Box 123, Broadw Faculty of Engineering and Information Technology, University of Technology Sydney PO Box 123, Broad

会议类型: 国际会议

会议名称: The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会)

会议地点: 北京

会议语种:英文

页码: 246-251

在线出版日期: 2009-10-19（万方平台首次上网日期，不代表论文的发表时间）