The typical phases of Bayesian network (BN) structured development include specification of purpose and scope, structure development, parameterisation and validation. Structure development is typically focused on qualitative issues and parameterisation quantitative issues, however there are qualitative and quantitative issues that arise in both phases. A common step that occurs after the initial structure has been developed is to perform a rough parameterisation that only captures and illustrates the intended qualitative behaviour of the model. This is done prior to a more rigorous parameterisation, ensuring that the structure is fit for purpose, as well as supporting later development and validation. In our collective experience and in discussions with other modellers, this step is an important part of the development process, but is under-reported in the literature. Since the practice focuses on qualitative issues, despite being quantitative in nature, we call this step qualitative parameterisation and provide an outline of its role in the BN development process.

翻译：贝叶斯网络（BN）结构化开发的典型阶段包括目的与范围确定、结构开发、参数化和验证。结构开发通常侧重于定性问题，而参数化侧重于定量问题，然而这两个阶段中都存在定性和定量问题。在初始结构开发之后，常见步骤是执行粗略参数化，仅捕获并说明模型的预期定性行为。此步骤在更严谨的参数化之前进行，旨在确保结构符合预期目的，并为后续开发与验证提供支持。根据我们的集体经验及与其他建模者的讨论，这一步骤是开发过程中的重要组成部分，但在文献中报道不足。由于该实践虽本质为定量，但侧重于定性问题，我们将其称为“定性参数化”，并概述其在BN开发过程中的作用。