Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 5620803, 11 pages
http://dx.doi.org/10.1155/2016/5620803
Research Article

Hesitant Cloud Model and Its Application in the Risk Assessment of “The Twenty-First Century Maritime Silk Road”

1PLA University of Science and Technology, Meteorological and Oceanographic Institution, Nanjing 211101, China
2Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China
3Chengdu Military Area Command, Surveying and Mapping Information Center, Chengdu 610000, China

Received 9 November 2015; Accepted 8 March 2016

Academic Editor: Laura Gardini

Copyright © 2016 Lizhi Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Nishiwaki, H. Kawai, H. Morishima et al., “Possible Application of Fuzzy Set Theory in Risk Assessment, Subjective Perception and Public Attitude Study on Nuclear Energy[DB/OL],” http://www.irpa.net/irpa6/cdrom/VOL.3/B3_90.PDF.
  2. L. Pokorádi, “Application of fuzzy set theory for risk assessment,” Journal of Konbin, vol. 14-15, pp. 187–196, 2010. View at Publisher · View at Google Scholar
  3. P. Dutta and T. Ali, “Uncertainty modeling in risk analysis: a fuzzy set approach,” International Journal of Computer Applications, vol. 43, no. 17, pp. 35–39, 2012. View at Publisher · View at Google Scholar
  4. N. S. Arunraj, S. Mandal, and J. Maiti, “Modeling uncertainty in risk assessment: an integrated approach with fuzzy set theory and Monte Carlo simulation,” Accident Analysis and Prevention C, vol. 55, no. 3, pp. 242–255, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Chen, L. Shu, and T. J. Burbey, “An integrated risk assessment model of township-scaled land subsidence based on an evidential reasoning algorithm and fuzzy set theory,” Risk Analysis, vol. 34, no. 4, pp. 656–669, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Li, Artificial Intelligence with Uncertainty, National Defense Industry Press, Beijing, China, 2014.
  7. D. Li, H. Meng, and X. Shi, “Membership clouds and membership cloud generators,” Journal of Computer Research & Development, vol. 32, no. 6, pp. 15–20, 1995. View at Google Scholar
  8. L. Qin and L. I. Bing, “Novel method of uncertain data modeling and classification based on cloud model,” Computer Science, vol. 41, no. 8, pp. 233–240, 2014. View at Google Scholar
  9. G. Wang, C. Xu, and D. Li, “Generic normal cloud model,” Information Sciences, vol. 280, pp. 1–15, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. V. Torra and Y. Narukawa, “On hesitant fuzzy sets and decision,” in Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1378–1382, Jeju Island, Republic of Korea, August 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. V. Torra, “Hesitant fuzzy sets,” International Journal of Intelligent Systems, vol. 25, no. 6, pp. 529–539, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  12. Z. Xu and M. Xia, “Distance and similarity measures for hesitant fuzzy sets,” Information Sciences, vol. 181, no. 11, pp. 2128–2138, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  13. Z. Xu and M. Xia, “On distance and correlation measures of hesitant fuzzy information,” International Journal of Intelligent Systems, vol. 26, no. 5, pp. 410–425, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  14. B. Zhu, Z. Xu, and M. Xia, “Dual hesitant fuzzy sets,” Journal of Applied Mathematics, vol. 2012, Article ID 879629, 13 pages, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  15. N. Chen and Z. Xu, “Properties of interval-valued hesitant fuzzy sets,” Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 143–158, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. T. González-Arteaga, J. C. R. Alcantud, and R. D. Andrés, “New correlation coefficients for hesitant fuzzy sets,” in Proceedings of the Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT '15), Gijón, Spain, June 2015. View at Publisher · View at Google Scholar
  17. R. M. Rodríguez, L. Martínez, V. Torra, Z. S. Xu, and F. Herrera, “Hesitant fuzzy sets: state of the art and future directions,” International Journal of Intelligent Systems, vol. 29, no. 6, pp. 495–524, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. R. M. Rodríguez, B. Bedregal, H. Bustince et al., “A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress,” Information Fusion, vol. 29, pp. 89–97, 2016. View at Publisher · View at Google Scholar
  19. F. Herrera, L. Martínez, V. Torra, and Z. Xu, “Hesitant fuzzy sets: an emerging tool in decision making,” International Journal of Intelligent Systems, vol. 29, no. 6, pp. 493–494, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Rashid and S. M. Husnine, “Multicriteria group decision making by using trapezoidal valued hesitant fuzzy sets,” The Scientific World Journal, vol. 2014, Article ID 304834, 8 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Xia, Z. Xu, and N. Chen, “Some hesitant fuzzy aggregation operators with their application in group decision making,” Group Decision and Negotiation, vol. 22, no. 2, pp. 259–279, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. C. Wei, Z. Ren, and R. M. Rodríguez, “A hesitant fuzzy linguistic TODIM method based on a score function,” International Journal of Computational Intelligence Systems, vol. 8, no. 4, pp. 701–712, 2015. View at Publisher · View at Google Scholar · View at Scopus
  23. Q. Si and M. C. Li, “Application of cloud theory and set pair analysis coupled model for evaluating environmental carrying capacity in Tianjin,” Applied Mechanics and Materials, vol. 675–677, pp. 377–381, 2014. View at Publisher · View at Google Scholar
  24. X. Zou, “Research on comprehensive evaluation of CCS project based on integrated cloud model and entropy weight,” International Journal of Nonlinear Science, vol. 18, no. 1, pp. 53–59, 2014. View at Google Scholar
  25. R. Jiang, D. Li, and J. Fan, “Automatic generation of pan-concept-tree on numerical data,” Chinese Journal of Computers, vol. 23, no. 5, pp. 470–476, 2000. View at Google Scholar · View at Scopus
  26. K. T. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87–96, 1986. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  27. I. B. Turksen, “Interval valued fuzzy sets based on normal forms,” Fuzzy Sets and Systems, vol. 20, no. 2, pp. 191–210, 1986. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  28. Z. Xu, Hesitant Fuzzy Sets Theory, vol. 314 of Studies in Fuzziness and Soft Computing, Springer, Berlin, Germany, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. Think China, Study on the political risk of the investment in the “One-Belt-and-One-Road”, 2015, http://think.china.com.cn.
  30. J. Birkmann, S. L. Cutter, D. S. Rothman et al., “Scenarios for vulnerability: opportunities and constraints in the context of climate change and disaster risk,” Climatic Change, vol. 133, no. 1, pp. 53–68, 2015. View at Publisher · View at Google Scholar
  31. Transparency International Group, “Corruption Perceptions Index,” 2014, http://www.transparency.org/.