Aiming at data-processing reliability problems in risk-assessment group decision-making,the importance of expert-weight for data processing was presented.Starting from the industrial characteristics of automobile-crash-safety study,according to expert social factor indicators,by using two analysis methods of system clustering and K-means clustering,experts were clustered using expert-authority-weights.According to the data consistency of expert's opinions and the consistency level between an individual and a group,by using the method based on information entropy,experts were clustered with expert-opinion-weights.The two clustering results were compositely clustered to get the final weight of each expert.The results showed that the expert-weights obtained with the composite clustering have good proportionality and reliability based on compositing expert-authority-weights and expert-opinion-weights,the finally obtained expert-weights provides a foundation for the study of systems projects.%针对风险评估中群决策数据的处理可靠性问题，提出专家权重对于数据处理的重要性。从汽车碰撞安全研究的行业特色出发，依据专家社会因素指标，运用系统聚类和K-均值聚类分析方法，对专家进行专家权威权重聚类；依据专家提供意见的数据一致性和个体与群体一致性程度，运用基于信息熵的方法对专家进行专家意见权重聚类；将两种聚类结果进行复合聚类，得到各位专家的最终权重。结果表明，在综合专家权威权重和专家意见权重的基础上，经复合聚类得到的专家权重具有较好的均衡性和可靠性，为系统项目的研究奠定基础。
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