A three-way approach is proposed for selecting rules in automatic knowledge-based topic models. The selection of rules in the three-way approach is controlled based on a pair of thresholds. Effective thresholds are determined based on a tradeoff between the quantity of rules and the quality of the rules. The game-theoretic rough set (GTRS) model is used to implement the tradeoff.