Open Access
| Issue |
MATEC Web Conf.
Volume 119, 2017
The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016)
|
|
|---|---|---|
| Article Number | 01039 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/matecconf/201711901039 | |
| Published online | 04 August 2017 | |
- X.D. Tang, The strategy analysis of the bullwhip effect in product delivery in the supply chain, China Economist, 5, 46-47 (2010) [Google Scholar]
- Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences, 11, 341-356 (1982) [CrossRef] [Google Scholar]
- C. Cortes and V. Vapnik, Support Vector net-works, Machine Learning, 20, 273-297 (1995) [Google Scholar]
- Y.L. Wu, M.L. Liu, and X.Q. Li, A research on risk evaluation of express logistics service based on RSSVM, Logistics Sci-Tech, 37, 11-14 (2014) [EDP Sciences] [Google Scholar]
- X.L. Zhang, D.P. Wang, and X.Z. Zhao, Dynamic supply chain partner selection research based on RS and SVM, Mathematics in Practice and Theory, 44, 1-6 (2014) [EDP Sciences] [Google Scholar]
- J.F. Wang, X.Y. Sheng, X.Q. Zhai, and L.J. Feng, Capability evaluation of coal mine disaster emergency logistics based on rough set and support vector machine, Safety in Coal Mines, 45, 237-239 (2014) [Google Scholar]
- B. Sun, S.J. Song, and C. Wu, A new algorithm of support vector machine based on weighted feature, in Proc. 8th Conf. International Conference on Machine Learning and Cybernetics, Baoding, China, 1616-1620 (2009) [Google Scholar]
- W.X. Zhang and G.F. Fang, Uncertain decision-making based on rough set, Beijing, China: Tsinghua University Press, 23 (2006) [Google Scholar]
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