DocumentCode :
401842
Title :
Research on fuzzy model and algorithms for data fusion
Author :
Yang, Bao-hua ; He, Ping ; Wang, Ben-li
Author_Institution :
Sch. of Astronautics, Harbin Inst. of Technol., China
Volume :
4
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2480
Abstract :
In this paper a fuzzy method for data fusion is proposed. First, the admission function is defined to measure the consistency of the sensors´ information. Simultaneously, the fuzzy measure is adopted for measuring the reliability of the sensors group which contributes to the final result. Thus, the final result is the combination of the compatible data provided by the more reliable sensors team. This method not only deals with the conflict between the sensors´ information and the transaction information provided by faulty sensor, but also assures the reliability and accuracy of the final fusion result. Finally, the simulation results show the method is satisfactory.
Keywords :
fuzzy logic; fuzzy set theory; fuzzy systems; sensor fusion; data fusion; faulty sensor; fusion algorithm; fuzzy method; sensors group reliability; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Helium; Humans; Neural networks; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259929
Filename :
1259929
Link To Document :
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