高校突发事件应急辅助决策专家系统构建研究

摘要

With the deepening of socialization and internationalization, all types of emergencies have often occurred in universities, and trend to increased gradually.In order to raise the university emergency recovery capability,according to current situation and characteristics of university emergency, two kinds of artificial intelligence techniques ,case based reasoning(CBR) and rule based reasoning(RBR),are combined to construct a decision support expert system of university emergency. The basic framework and workflow of system are provided and the specific design of CBR and RBR are discussed. A new approach for solving scientific decision making in university emergency is provided.%随着我国高校社会化、国际化程度的不断加深，各类突发事件在高校时有发生，并有逐步增加的趋势。为了提高高校应急处置能力，根据高校突发事件的现状和特点，融合CBR（案例推理）和RBR（规则推理）两种先进的人工智能方法，构建了高校突发事件应急辅助决策专家系统，提出了系统的整体框架和工作流程，并讨论了CBR和RBR的具体设计，为解决高校突发事件中的科学决策问题提供了一种新的思路。