A Research on Big-data Oriented Cloud Evaluation for Complex Alliance of New Energy Vehicles

被引:0
作者
Yin L. [1 ]
Jiang J. [1 ]
Lu R. [2 ]
Yin A. [3 ]
机构
[1] School of Computer and Information, Hefei University of Technology, Hefei
[2] China Society of Automotive Engineers, Beijing
[3] School of Automotive and Traffic Engineering, Hefei University of Technology, Hefei
来源
Qiche Gongcheng/Automotive Engineering | 2019年 / 41卷 / 01期
关键词
Big data; Cloud evaluation; Cloud model; Complex alliance; New energy vehicles;
D O I
10.19562/j.chinasae.qcgc.2019.01.018
中图分类号
学科分类号
摘要
A big data-oriented cloud evaluation method for the complex alliance of new energy vehicles is proposed in this paper based on cloud model theory. First of all, the big data-oriented evaluation model for new energy vehicle alliance is established and the alliance evaluation indicator cloud is generated by using reverse cloud generator and comprehensive cloud calculation. Then, on the basis of determining the weighting clouds of the evaluation indicators and tasks for the alliance, the evaluation clouds of both single-task alliance and multi-task complex alliance are created respectively by applying cloud computing rules, and cloud evaluation and optimization are performed on the alternative schemes of the complex alliance. Finally, a real example is given to verify the effectiveness and rationality of the method proposed. © 2019, Society of Automotive Engineers of China. All right reserved.
引用
收藏
页码:112 / 119
页数:7
相关论文
共 3 条
[1]  
Graham-Roew D., Goldston D., Doctorow C., Et al., Big data: science in the petabyte era, Nature, 455, 7209, pp. 8-9, (2008)
[2]  
Zhang G.F., Jiang J.G., Lu C.H., Et al., A revision algorithm for invalid encodings in concurrent formation of overlapping coalitions, Applied Soft Computing, 11, 2, pp. 2164-2172, (2011)
[3]  
Voice T., Polukarov M., Jennings N.R., Coalition structure generation over graphs, Journal of Artificial Intelligence Research, 45, 1, pp. 165-196, (2012)