Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology

Application of Fuzzy Clustering in Agricultural Disaster Insurance

Authors
Ting Zhang
Corresponding Author
Ting Zhang
Available Online May 2014.
DOI
10.2991/scict-14.2014.48How to use a DOI?
Keywords
fuzzy clustering; agricultural disaster; insurance premium rate
Abstract

Facing frequent occurrences of natural disasters in recent years, the research and practice of natural disaster insurance should be paid more attention and intensified in our country,In order to reasonably determine the agricultural insurance rate and premium, we use the fuzzy clustering analysis method through effective quantization on the data of the known natural disasters. I think this will provide an effective basis for the formulation of insurance rate in different area as well as the different types of insurance in same area.

Copyright
© 2014, 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 2nd International Conference on Soft Computing in Information Communication Technology
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/scict-14.2014.48
ISSN
1951-6851
DOI
10.2991/scict-14.2014.48How to use a DOI?
Copyright
© 2014, 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  - Ting Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Application of Fuzzy Clustering in Agricultural Disaster Insurance
BT  - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
PB  - Atlantis Press
SP  - 203
EP  - 204
SN  - 1951-6851
UR  - https://doi.org/10.2991/scict-14.2014.48
DO  - 10.2991/scict-14.2014.48
ID  - Zhang2014/05
ER  -