The Algorithm of Multi-sensor Data Fusion Based on the Modified Reciprocal Fuzzy Neartude
Qiang Qu, Xinhua He, Weichao Zhang
Available Online June 2017.
- https://doi.org/10.2991/icmia-17.2017.42How to use a DOI?
- Sensor, Data fusion, Fuzzy neartude, Distance neartude, Fuzzy weighted fusion, Fuzzy membership.
- In order to improve the accuracy and reliability of the multi-sensor data fusion, a new modified reciprocal fuzzy neartude based approach to calculate the weights of the fusion model is proposed. Through the research of the fusion model, it is found that the fuzzy neartude is more practical than fuzzy membership for the calculation of the weights. The fusion performance of the five types of fuzzy neartude is analyzed, and the reciprocal fuzzy neartude is proved to be one of the best for the resolution and mount of calculation. However, the neartude cannot suppress the singular data well. To address the problem, the reciprocal fuzzy neartude is modified. The simulation analysis shows that the modified reciprocal fuzzy neartude based approach can fuse the multi-sensor data with high accuracy and reliability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiang Qu AU - Xinhua He AU - Weichao Zhang PY - 2017/06 DA - 2017/06 TI - The Algorithm of Multi-sensor Data Fusion Based on the Modified Reciprocal Fuzzy Neartude BT - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.42 DO - https://doi.org/10.2991/icmia-17.2017.42 ID - Qu2017/06 ER -