公众反馈信息评价模型研究及实现

Building Risk Information Credibility Model with Public Feedback

由于危机事件在各大城市中频繁地发生,灾害预防和减缓已变得越来越重要。对于社区居民而言,一个有用的减缓风险措施是让社区成员在实际危机发生前反馈相关的风险信息。决策者及时告知公众社区中存在的风险信息。然而,人们对于同一风险的感知程度是不一样的,同时,反馈信息中含有过多的公众主观性意见,导致风险信息比较模糊,决策者难以确认该风险信息是否可靠。在本文中,作者采用可信性理论来构建评价公众反馈信息的可信度的数学模型,然后,通过设计一些实验数据作为公众的意见以验证所设计模型的可行性。

As crises happen more frequently and in bigger magnitudes among urban communities, disaster prevention and disaster mitigation has become increasingly important. One useful preventive measure is for community members to report relevant risk information before an actual crisis occurs. And decision makers timely inform the public the potential risk information. However, the perception level of the same risk is varied from different people and excessive subjectivity of public feedback causes the risk information more ambiguous, driving the decision makers wondering whether the risk information is credible. In this paper, a risk information credibility model with public feedback is built on the credibility measuring degree by using the comprehensive fuzzy evaluation as a single fuzzy event. Then the author demonstrates the model by designing some experimental data as public feedback to validate the feasibility of our model.