The quality of a group decision depends on its members sharing and adopting their various perspectives. Multi-criteria models provide an appropriate vehicle for managing this information sharing because they break down the decision into small, single-issue questions that can be treated independently. We present a new lexicographic decision method with three equivalence classes for use by a group. Our algorithm is the first to combine the hidden profile and multi-criteria paradigms and thereby improving the consensus by identifying critical disagreements and inviting the decision makers to share their mental models of them. A computer simulation demonstrates the algorithm’s effectiveness and efficiency. Unless the problem parameters are very unfavorable, the method achieves the desired choice set or a close approximation to it significantly faster than the commonly used compensatory methods. Our algorithm can either provide step-by-step instructions to a human facilitator, or it can be implemented as a software agent acting as a fully automated digital facilitator, allowing decision makers to participate “on the go” using their internet-connected mobile devices.

中文翻译：

---

ABX-LEX：一种基于参数的方法，用于数字化促进有效的群体决策

集体决策的质量取决于其成员分享和采纳他们的各种观点。多标准模型为管理这种信息共享提供了适当的工具，因为它们将决策分解为可以独立处理的小问题。我们提出了一种新的词典决策方法，它具有三个等价类供一组使用。我们的算法是第一个结合隐藏配置文件和多标准范式的算法，从而通过识别关键分歧并邀请决策者分享他们的心智模型来提高共识。计算机模拟证明了该算法的有效性和效率。除非问题参数非常不利，该方法比常用的补偿方法明显更快地实现了所需的选择集或接近它的近似值。我们的算法既可以向人工协助者提供分步指导，也可以作为一个软件代理来实现，充当全自动数字协助者，让决策者可以使用他们的互联网连接移动设备“随时随地”参与.