Proceedings of the 2015 International Conference on Management, Education, Information and Control

The Transmission of the Combination of Rough sets and Fuzzy Kohonen Clustering Network Technology Based on GPS Data under Large Data Environment

Authors
Kun Yang, Ruifen Yu
Corresponding Author
Kun Yang
Available Online June 2015.
DOI
https://doi.org/10.2991/meici-15.2015.200How to use a DOI?
Keywords
Rough set; Neural network; Data fusion; Data fusion transmission
Abstract
The difficulties of wireless sensor data fusion is to switch the sensor cluster state, namely the problem at some point the direction to which the sensor data fusion. First of all, by the acquisition of knowledge in rough set theory, the typical clustering distribution of multiple sensors can be fused as sample space form "decision table data fusion distribution”, then according to the method of knowledge reduction in rough sets, attributes and sample data redundancy to delete. And then the clustering analysis and fuzzy Kohonen clustering network, and finally the formation of distribution rules of sensor data fusion. The experimental results show that the model has good classification efficiency, can realizes the clustering distribution of judgment.
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Proceedings
2015 International Conference on Management, Education, Information and Control
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-85-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-15.2015.200How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kun Yang
AU  - Ruifen Yu
PY  - 2015/06
DA  - 2015/06
TI  - The Transmission of the Combination of Rough sets and Fuzzy Kohonen Clustering Network Technology Based on GPS Data under Large Data Environment
BT  - 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1147
EP  - 1150
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.200
DO  - https://doi.org/10.2991/meici-15.2015.200
ID  - Yang2015/06
ER  -