Role assignment is a critical element in the role-based collaboration process. There are many factors to consider when decision makers undertake this task. Such factors include a decision maker’s preferences and the team’s performance. This paper proposes a series of methods, relative to these factors, to solve the group role assignment with balance problem through an association with the one clause at a time approach that is a well-accepted and logic-based association rule mining method. The proposed methods are verified by simulation experiments. The experimental results present the practicability of the proposed solutions. Using the proposed methods, decision makers need only to establish coarse-grain preferences. The fine-grain preferences can be mined. Furthermore, a balance is obtained between the fine-grain preferences and the team’s performance.

中文翻译：

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在组角色分配中实现首选项与性能之间的平衡

角色分配是基于角色的协作过程中的关键元素。决策者执行此任务时需要考虑许多因素。这些因素包括决策者的偏好和团队的表现。针对这些因素，本文提出了一系列方法，通过一次与一个子句的关联来解决带有平衡的小组角色分配问题，这是一种公认​​的，基于逻辑的关联规则挖掘方法。仿真实验验证了所提方法的有效性。实验结果表明了所提出解决方案的实用性。使用建议的方法，决策者只需建立粗粒度的偏好即可。可以挖掘细粒度的首选项。此外，