Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Optimization Model for the Selection of the Community Risk Registration Indicator and Its Application in Fire Risk

Authors
Jie Su, Jie Lian
Corresponding Author
Jie Su
Available Online January 2016.
DOI
10.2991/icca-16.2016.30How to use a DOI?
Keywords
Fire risk, Risk registration, Evaluation “goodness”
Abstract

According to the reality and requirement of our country’s community risk registration, this paper puts forward four principles for the selection of community risk registration indicator and then designs the evaluation “goodness” for evaluating the community risk registration indicator. On this basis, this paper constructs a multi-objective programming to select a comprehensive evaluation indicator system. Finally, this paper takes the community fire risk register as an example and couples with experts grading method to construct a scientific and feasible community fire risk registration form.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/icca-16.2016.30
ISSN
2352-538X
DOI
10.2991/icca-16.2016.30How to use a DOI?
Copyright
© 2016, 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  - CONF
AU  - Jie Su
AU  - Jie Lian
PY  - 2016/01
DA  - 2016/01
TI  - Optimization Model for the Selection of the Community Risk Registration Indicator and Its Application in Fire Risk
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 134
EP  - 137
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.30
DO  - 10.2991/icca-16.2016.30
ID  - Su2016/01
ER  -