Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

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

Authors
Ye Xue 0, Chongfu Huang
Corresponding Author
Ye Xue
0Beijing Normal University
Available Online October 2006.
DOI
https://doi.org/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.
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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.77How to use a DOI?
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  -