关键词: 云制造, 服务质量, 多利益相关方, 异质, 供需双约束, 服务推荐

Abstract: To solve the fuzzy uncertainty problem of service resource evaluation in cloud manufacturing environment and optimize service recommendation effect,a cloud manufacturing service recommendation model based on multi-party heterogeneous evaluation of Quality of Service(QoS) and dual constraints of supply and demand was proposed.By considering the evaluation of multi-stakeholders such as service providers,cloud platforms and service users,and the heterogeneous evaluation forms such as numerical value,ratio,natural language and star,a multi-party heterogeneous evaluation system of six QoS indicators:service time (t),cost (c),availability (av),maintainability (ma),trustworthiness (tru) and satisfaction (sat) were constructed,which used emotion analysis method based on emotion dictionary to objectively measure heterogeneous evaluation.A dual constraint service recommendation model considered the matching requirements of the supplier and the demander was constructed to solve the multi-objective optimization problem and comprehensively evaluate the optimized service.A service recommendation list integrating objective optimization and subjective preference was obtained.The rationality and effectiveness of the proposed model were verified by a small remote control automobile processing service released on the cloud platform.

Key words: cloud manufacturing, quality of service, multi-stakeholder, heterogeneous, dual constraints of supply and demand, service recommendation