Abstract: To solve the matching problem of cloud manufacturing services under actual conditions,the uncertainty of service attributes and the subjective preference of demand side were taken into consideration.An integrated matching approach for cloud manufacturing services based on interval numbers and gray correlation degree was proposed.The quality of service was described with interval numbers while the matching similarity of quality of service was calculated by using grey correlation degree.The type,description and quality of services were matched,filtered and ranked to get service recommendation,and a users' feedback adjustment method was also proposed.Furthermore,mathematical examples and comparative studies were carried out.The results illustrated that the proposed method had better precision and recall and also verify the feasibility,accuracy and stability of the proposed method.The whole study shows that the method could effectively match and recommend cloud manufacturing services which meet the subjective preference for demand side.

Key words: cloud manufacturing, service matching, interval, gray correlation

摘要： 为解决实际情况下云制造服务的匹配推荐问题,考虑服务属性的不确定性和需求方的主观偏好,提出一种基于区间和灰色关联度的云制造服务资源综合匹配推荐方法。采用区间数对质量信息进行描述,采用灰色关联度计算服务质量匹配相似度,对服务资源类型、描述和质量信息进行了匹配、过滤、排序,得到了服务推荐,还提出了用户反馈调整方法。通过算例和对比研究说明了该方法具有较好的查准率和查全率,验证了该方法的可行性、准确性和稳定性,结果表明该方法能有效地为需求方匹配推荐符合主观偏好的云制造服务。

关键词: 云制造, 服务匹配, 区间, 灰色关联