title: |
A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.77 (how to use a DOI) | |
author(s): |
Ye Xue, Chongfu Huang |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Information granule, Fuzzy inference, Isoseismal area |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |