Open Access
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
Article Number 02028
Number of page(s) 6
Section Environmental and Industrial Design
Published online 23 July 2020
  1. Zhang Jf, Jin XT.(2019) Sensitivity Element-Oriented Product Image Design: Taking Smart Speaker as an Example.Design Research, 9: 115-120. [Google Scholar]
  2. Wang C., Zhao W., Wang J., et al.(2016) An Ontology Based Multi-Dimensional User Requirement Acquisition. Computer Integrated Manufacturing Systems, 22: 908—916. [Google Scholar]
  3. HuiMJ, C.K. Kwong, G.E. Okudan Kremer; W.-Y. Park (2019) Dynamic modelling of customer preferences for product design using DENFIS and opinion mining. Elsevier Ltd, 42 [Google Scholar]
  4. Li SB, Quan HF, Hu JJ, Wu YM, Zhang AS (2018) Perceptual evaluation method of products based on online reviews data driven. Computer Integrated Manufacturing Systems, 24: 752-762 [Google Scholar]
  5. Wang Y. (2016) Product Color Design. Chemical Industry Press, Beijing. [Google Scholar]
  6. Xu ZS. (2008) Theroy and Application of Intuitionistic fuzzy Sets. Science Press, Beijing. [Google Scholar]
  7. Cheng XF, Zhu J., Zhou EM.(2017) Research of the customer requirement model for product family based on conjoint analysis and fuzzy clustering. Chinese Journal of Engineering Design, 24: 8-17+26. [Google Scholar]
  8. Yao X., Hu HY, Li JY.(2016) Research on matching of user’s emotional demands level and product design feature. Wuhan University of Technology(Social Science Edition), 29: 304-307. [Google Scholar]
  9. Cao GZ, Shi K Wang T. (2019) User-Requirement Analysis Method Based on Multi-Dimensional Sensibility. Packaging Engineering, 40: 119-127. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.