A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion

DOI

10.2991/jcis.2006.77How to use a DOI?

Keywords

Information granule, Fuzzy inference, Isoseismal area

Abstract

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.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.77
DO  - 10.2991/jcis.2006.77
ID  - Xue2006/10
ER  -