For the limitation that traditional multi-party conflict analysis often uses weighted summation to get the conflict solution,a fuzzy hypergraph-based conflict analysis model is pro-posed to consider all attribute sets as a whole.Firstly,fuzzy transversal and minimum fuzzy transversal are introduced to divide the object subsets with different rules,so as to define the consistency measurement function to obtain the conflict set,the neutral set and the alliance set.Secondly,in order to simplify the computation of maximal coalitions,the object subset tree is es-tablished and the maximal coalitions-based object subset tree pruning algorithm is proposed.Fi-nally,the model and algorithm are validated through examples and comparative experiments.The results show that the model can accurately describe the relationship of multiple objects under the overall attributes,and can analyze the state of each object subset,as well as alleviate the redun-dancy problem of the maximal coalitions-based object subset tree pruning algorithm,which im-proves its performance.