【摘要】 数据挖掘使得决策者获取信息更为方便有效。本文在冲突分析图模型理论框架下，首先基于数据对冲突策略进行挖掘，实现了冲突策略的合理构建。其次，考虑到现实冲突中决策者对某策略的选择更多表现为一种被选择的可能性，将犹豫模糊语言信息和冲突分析图模型理论进行有效交叉融合，采用犹豫模糊语言信息进行评估，并基于粗糙集思想对犹豫模糊语义评价信息进行集结以代表这种可能性；进一步地，提出一种新的基于犹豫模糊语言信息的冲突分析图模型策略优先权排序法。最后，对沭河跨境水污染进行建模分析，对沭河水污染治理提出建议，并且就状态排序结果对比了新旧两种方法，结果验证本文提出方法的合理性。更多还原

【Abstract】 Data-driven makes it more convenient and effective for decision-makers to obtain information.Under the theoretical framework of graph model for conflict resolution, this paper firstly mines conflict strategies based on data-driven, and realizes the rational construction of conflict strategies. Secondly, considering that decision-makers’ choice of a certain strategy is more likely to be a possibility of being selected in real conflicts, this paper effectively integrates the hesitant fuzzy linguistic information with the theory of graph model for conflict resolution, and uses the hesitant fuzzy linguistic information for evaluation. Based on the rough set theory, the information of hesitant fuzzy semantic evaluation is aggregated to represent this possibility. Furthermore, a new option prioritizing method for graph model of conflict resolution based on hesitant fuzzy linguistic information is proposed. Finally, the cross-border water pollution of the Shu River are modeled and analyzed to compare the novel and classic methods, so as to verify the rationality of the method proposed in this paper.更多还原