Research on fuzzy model and algorithms for data fusion
Baohua Yang, Ping He, Benli Wang · 2004
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.