Risk classification plays an important role in many regulations and standards. However, a general method that provides an optimal classification has not been proposed yet. Also, the criteria of optimality are not defined in these regulations. In this work, we will propose a mathematical model that is sufficient to describe this problem, and we also propose an algorithm that classifies graph vertices based on their risk value in polynomial time.
翻译:风险分类在许多条例和标准中起着重要作用,然而,尚未提出一种提供最佳分类的一般方法。此外,这些条例没有界定最佳性标准。在这项工作中,我们将提出一个足以说明这一问题的数学模型,我们还提议一种根据多时风险值对图表脊椎进行分类的算法。