Abstract: To solve the trust evaluation problem between multi-agents in cloud manufacturing, the blurring direct trust quantitative model was studied. A direct trust prediction model based on trading experience and weighted moving average method was proposed, and the dynamic updating algorithm of model was given. The impact factors of weight in recommended trust value were analyzed and a weight calculate algorithm was proposed based on the similarity and the direct trust value between the Agents. By combining with direct transaction threshold value, the dynamic updating algorithm for the recommended trust weight was put forward.

Key words: cloud manufacturing, service mode, trust evaluation, dynamic updating

摘要： 为解决云制造服务模式中多主体之间的信任评估问题，研究了模糊化的直接信任度量化模型，提出一种基于交易经验和移动加权平均法的直接信任度预测模型，并给出模型的动态更新算法；研究了推荐信任度中推荐权值的影响因素，提出一种基于主体间信任评估相似性和主体间直接信任关系的推荐信任度权值确定算法，并结合主体间的直接交易门限值，给出推荐信任度权值的动态更新算法。

关键词: 云制造, 服务模式, 信任评估, 动态更新