基于D-S理论的可信云服务评价方法研究

发布时间：2018-03-31 13:19

本文选题：云服务　切入点：D-S理论　出处：《计算机工程与应用》2017年17期

【摘要】：云制造环境下,用户选择云服务资源时往往陷入信息量巨大以及信任缺失的困境。针对如何选取可信云服务的问题,提出了一种基于D-S理论的云服务评价方法。选取六个云服务指标作为可信特征集;通过获取定性定量指标评价信息,求解指标的评价等级隶属度;进而获得评价指标效用偏好度作为基本概率分配值;引入各云服务评价指标的权重修正基本概率分配以减少证据合成过程中的冲突;应用D-S理论合成规则对可信云服务的证据进行合成;计算各云服务的信任区间并将其进行偏序关系的对比,实现了云服务的选择。以某汽车零部件制造商选择云服务为例,验证所提方法的可行性和有效性。
[Abstract]:In cloud manufacturing environment, users often fall into the dilemma of huge amount of information and lack of trust when they choose cloud service resources. A cloud service evaluation method based on D-S theory is proposed. Six cloud service indicators are selected as the trusted feature set, and the evaluation grade membership degree is solved by obtaining qualitative and quantitative index evaluation information. Then the utility preference degree of evaluation index is obtained as the basic probability distribution value, and the weight of each cloud service evaluation index is introduced to modify the basic probability allocation to reduce the conflict in the process of evidence synthesis. The D-S theory is used to synthesize the evidence of trusted cloud service, and the trust interval of each cloud service is calculated and compared with the partial order relation, and the selection of cloud service is realized. Verify the feasibility and effectiveness of the proposed method.
【作者单位】：上海理工大学管理学院;
【基金】：国家自然科学基金(No.71301104) 高等学校博士学科点专项科研基金资助课题(No.20133120120002) 上海市教育委员会科研创新项目(No.14YZ088) 上海市一流学科项目(No.S1201YLXK) 沪江基金(No.A14006)
【分类号】：TP393.09

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