Journal of Risk Analysis and Crisis Response

Volume 4, Issue 2, June 2014, Pages 61 - 71

Multiple Internet of Intelligences for Risk Analysis

Authors
Chongfu Huang
Corresponding Author
Chongfu Huang
Received 24 April 2014, Accepted 4 June 2014, Available Online 19 June 2014.
DOI
10.2991/jrarc.2014.4.2.2How to use a DOI?
Keywords
Internet of Intelligences; Risk Analysis; Fuzzy Set; Normal Diffusion; Typhoon Dynamic Risk
Abstract

In this study, we define a multiple Internet of intelligences (M-IOI) as the processing of homological information in layers. If agents in an M-IOI not only provide information in response to a question asked by a customer but also review information from other agents and summarize it, we refer to this as a summarizing M-IOI. The fuzzy mathematics method of normal diffusion is suggested to transform the summaries into fuzzy sets so that a satisfactory answer to the question is given. A summarizing M-IOI is used in a case study of typhoon dynamic risk in Wenzhou, China, where an insurance company wants to know whether the level of the risk will increase significantly. The effective knowledge in a summarizing M-IOI is measured to evaluate the quality of the answer. We also discuss the relation between IOIs and a global brain.

Copyright
© 2013, 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
4 - 2
Pages
61 - 71
Publication Date
2014/06/19
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2014.4.2.2How to use a DOI?
Copyright
© 2013, 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  - 2014
DA  - 2014/06/19
TI  - Multiple Internet of Intelligences for Risk Analysis
JO  - Journal of Risk Analysis and Crisis Response
SP  - 61
EP  - 71
VL  - 4
IS  - 2
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2014.4.2.2
DO  - 10.2991/jrarc.2014.4.2.2
ID  - Huang2014
ER  -