Conflict occurs naturally in all walks of life at any time. When agents face a conflict, they usually have multiple alternatives and hesitate to make a decision. This paper studies conflict analysis in the case of hesitant fuzzy setting, i.e. the attitude of an agent on an issue has multiple choices. We first propose a conflict analysis model based on hesitant fuzzy information systems. Subsequently, we present the concepts of conflict, neutrality and alliance sets on one issue and multiple issues respectively, and introduce a method to compute the three sets via Bayesian decision theory. Moreover, the degree of conflict, neutrality and alliance among agents with respect to an issue are defined respectively. According to the conflict and alliance degrees, the set of issues is divided into three parts: the main reason, secondary reason and irrelevant reason. Finally, two methods of computing coalitions are discussed. One is based on Bayesian decision theory. The other is to find a complete subgraph of the coalition graph.

各行各业随时都会自然发生冲突。当代理面临冲突时，他们通常有多种选择并犹豫不决。本文研究了犹豫模糊设置情况下的冲突分析，即代理对一个问题的态度有多种选择。我们首先提出了一种基于犹豫模糊信息系统的冲突分析模型。随后，我们分别介绍了关于一个问题和多个问题的冲突集、中立集和联盟集的概念，并介绍了一种通过贝叶斯决策理论计算这三个集的方法。此外，针对一个问题，代理之间的冲突、中立和联盟的程度分别被定义。根据冲突和联盟程度，问题集分为三个部分：主要原因，次要原因和不相关的原因。最后，讨论了计算联盟的两种方法。一种是基于贝叶斯决策理论。另一种是找到联盟图的完整子图。