论文标题
COVID-19限制决定有多公平？使用基于优势的粗糙集方法对英格兰进行数据驱动的调查
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach
论文作者
论文摘要
在Covid-19-19大流行期间，几个国家采取了分层限制的方法，由于缺乏透明度，这仍然是辩论。使用基于优势的粗糙设定方法，我们确定了与英国政府的分层限制分配系统有关的COVID-19数据中的模式。分析中的这些见解被转化为“如果然后”类型规则，这些规则很容易由政策制定者解释。从不同地理区域提取的规则的差异表明在这些领域的层次分配中不一致。我们发现差异描述了英格兰的整体南部鸿沟，但是，这种鸿沟主要由伦敦驱动。基于我们的分析，我们证明了基于优势的粗糙集方法在研究有关COVID-19限制的决策制定的公平性和解释。拟议的方法和分析可以为局部公共卫生限制提供更透明的方法，这可以帮助确保更加符合公共安全规则。
During the COVID-19 pandemic, several countries have taken the approach of tiered restrictions which has remained a point of debate due to a lack of transparency. Using the dominance-based rough set approach, we identify patterns in the COVID-19 data pertaining to the UK government's tiered restrictions allocation system. These insights from the analysis are translated into "if-then" type rules, which can easily be interpreted by policy makers. The differences in the rules extracted from different geographical areas suggest inconsistencies in the allocations of tiers in these areas. We found that the differences delineated an overall north south divide in England, however, this divide was driven mostly by London. Based on our analysis, we demonstrate the usefulness of the dominance-based rough sets approach for investigating the fairness and explainabilty of decision making regarding COVID-19 restrictions. The proposed approach and analysis could provide a more transparent approach to localised public health restrictions, which can help ensure greater conformity to the public safety rules.
