计算机科学

计算机科学 ›› 2022, Vol. 49 ›› Issue (3): 354-359.doi: 10.11896/jsjkx.210200116

• 信息安全 • 上一篇    下一篇

面向个性化需求的云制造服务可信评价模型

杨玉丽1, 李宇航1, 邓岸华2   

  1. 1 太原理工大学信息与计算机学院 太原030024
    2 西安电子科技大学计算机科学与技术学院 西安710070
  • 收稿日期:2021-02-18 修回日期:2021-06-04 出版日期:2022-03-15 发布日期:2022-03-15
  • 通讯作者: 杨玉丽(yangyuliyyl@126.com)
  • 基金资助:
    山西省面上青年基金资助项目(201901D211076)

Trust Evaluation Model of Cloud Manufacturing Services for Personalized Needs

YANG Yu-li1, LI Yu-hang1, DENG An-hua2   

  1. 1 College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China
    2 School of Computer Science and Technology,Xidian University,Xi’an 710070,China
  • Received:2021-02-18 Revised:2021-06-04 Online:2022-03-15 Published:2022-03-15
  • About author:YANG Yu-li,born in 1979,Ph.D,is a member of China Computer Federation.Her main research interests include cloud manufacturing service,cloud computing and trust management.
  • Supported by:
    Young People Fundation of Shanxi Province,China(201901D211076).

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摘要： 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。

关键词: 服务质量, 个性化需求, 可信评价, 云模型, 云制造服务

Abstract: 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.

Key words: Cloud manufacturing service, Cloud model, Personalized need, Quality of service, Trust evaluation

中图分类号: 

  • TP391
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