To address the issue of heterogeneous internal preferences among decision makers in large-scale social conflicts, this study develops a consensus preference generation model that integrates trust and empathy relationships, based on the Graph Model for Conflict Resolution (GMCR) framework. First, large-scale conflict decision makers are divided into subgroups to quantify trust relationships and empathy weights among them. Subsequently, a consensus iteration algorithm that integrates trust networks and empathy responses is established, in which the empathy mechanism specifically considers subgroups' identification with the group's overall ranking. Then, an improved Fuzzy Ordinal Priority Approach (OPA-F) is applied to achieve ordinal aggregation of heterogeneous preferences and form a consensus ranking of strategy statements. Finally, consensus preference outcomes are generated based on the strategy priority ranking method. Validation through case application, sensitivity analysis, and comparative analysis shows that the model can effectively improve consensus efficiency, and the generated consensus preferences significantly enhance the strategic stability of key decision makers. The proposed model achieves the transformation from intra-group disagreements to a consensus-based strategy statement ranking, thereby providing a computable analytical framework for consensus-based coordination in large-scale social conflicts.