面向个性化需求的云制造服务可信评价模型

针对传统的云制造服务可信评价模型中存在的可扩展性弱、难以满足个性化需求等问题,提出一种可扩展性强、可以较好地满足个性化需求的可信评价模型。首先构建多层次的、多粒度的云制造服务可信评价框架;然后基于此框架,提出了基于云模型的云制造服务可信评价方法,在该方法中,引入云模型理论,用于统一表征不同类型的评价指标,以及描述用户的个性化需求,采用标准离差法计算不同评价指标的权重系数;最后通过应用案例检测所提方法的有效性,并通过时间开销的对比实验验证该方法的可行性。实验结果表明,与传统的方法相比,该模型在合理的时间开销范围内,可以根据用户的个性化需求,对不同的云制造服务提供方进行更为准确的可信评价,进而帮助用户选择满意度更高的云制造服务。

Trust Evaluation Model of Cloud Manufacturing Services for Personalized Needs

Aiming at the problems of weak extensibility and difficulty in meeting personalized requirements in traditional trust evaluation models of cloud manufacturing service,a trust evaluation model of cloud manufacturing service for personalized needs is proposed.Firstly,a multi-level and multi-granularity trust evaluation framework of cloud manufacturing service is designed.Then,based on the framework,a trust evaluation method of cloud manufacturing services based on cloud model is proposed.In this method,the cloud model theory is used to characterize different types of evaluation indexes uniformly,and also used to describe the personalized needs.The standard deviations are used to calculate the weight coefficients of different evaluation indexes.Finally,the effectiveness and feasibility of the proposed model are verified through a case analysis and a comparative experiment of time overhead,respectively.Compared with traditional methods,the experimental results show that within a reasonable amount of time,according to the personalized requirements of users,the proposed model could make more accurate trust evaluations for different cloud manufacturing service providers,and then help users choose the cloud manufacturing service with the higher satisfaction.