To aid decision making about environmental systems under deep uncertainty, robustness metrics are commonly used to represent system performance over a number of scenarios. However, there are many robustness metrics and many ways of generating scenarios, making it difficult to know which to choose in order to quantify system robustness and to make robust decisions. To address this shortcoming, we introduce a generic guidance framework to assist with the identification of the most robust decision alternatives, as well as the RAPID (Robustness Analysis Producing Intelligent Decisions) software package which is a consistent and easy-to-use implementation of the framework. We illustrate the framework and software package on a hypothetical lake pollution problem, known as The Lake Problem, showing how the framework and software package apply to several situations where decision-makers may or may not know which scenarios or robustness metrics to use.

为了帮助在极度不确定的情况下做出有关环境系统的决策，通常使用鲁棒性指标来表示许多方案下的系统性能。但是，存在许多健壮性度量标准和生成方案的许多方法，这使得很难知道要选择哪个来量化系统健壮性和做出健壮的决策。为了解决这个缺点，我们引入了通用的指导框架来帮助确定最可靠的决策方案，以及RAPID（稳健性分析产生智能决策）软件包，该软件包一致且易于使用。框架。我们说明了一个假设的湖泊污染问题（称为“湖泊问题”）的框架和软件包，