A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion
Ye Xue 0, Chongfu Huang
0Beijing Normal University
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.77How to use a DOI?
- Information granule, Fuzzy inference, Isoseismal area
- Utilizing the technique of information granule diffusion and fuzzy inference with max-min operation, this paper provides a new model to estimate isoseismal area by earthquake magnitude. The model does not depend on any extra condition but scanty historical earthquake recorders. The technique of information granule diffusion is employed to fill up the gaps which a small sample caused. The fuzzy inference can avoid complex computation. In this paper, we also demonstrate the benefit of the suggested model by comparing their results of linear regression and hybrid fuzzy-neural-network method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ye Xue AU - Chongfu Huang PY - 2006/10 DA - 2006/10 TI - A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.77 DO - https://doi.org/10.2991/jcis.2006.77 ID - Xue2006/10 ER -