Journal of Risk Analysis and Crisis Response

Volume 8, Issue 3, October 2018, Pages 163 - 176

A Description of Earthquake Risk Perception in Intelligent Mathematics

Authors
Chongfu Huang
Corresponding Author
Chongfu Huang
Received 14 June 2018, Accepted 24 June 2018, Available Online 1 October 2018.
DOI
10.2991/jrarc.2018.8.3.6How to use a DOI?
Keywords
earthquake risk, risk perception, intelligent mathematics, factor space, information diffusion, internet of intelligences, consciousness
Abstract

In this paper, we for the first time propose an framework of intelligent mathematics, which consists of factor space, information diffusion, and internet of intelligences. This paper demonstrates how to use intelligent mathematics to describe earthquake risk perception. The concept of earthquake risk is described in the factor space, and the knowl- edge of earthquake risk is formed in association learning based on information diffusion. Different knowledge sys- tems precipitate different acquired consciousnesses. The security instinct affects the perception of risk. For a region, the risk consciousnesses of the stakeholders could be integrated with the internet of intelligences to form a consen- sus of the earthquake risk perception.

Copyright
© 2018, 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/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
8 - 3
Pages
163 - 176
Publication Date
2018/10/01
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2018.8.3.6How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - JOUR
AU  - Chongfu Huang
PY  - 2018
DA  - 2018/10/01
TI  - A Description of Earthquake Risk Perception in Intelligent Mathematics
JO  - Journal of Risk Analysis and Crisis Response
SP  - 163
EP  - 176
VL  - 8
IS  - 3
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2018.8.3.6
DO  - 10.2991/jrarc.2018.8.3.6
ID  - Huang2018
ER  -