FS-DS based multi-sensor data fusion

considering the problem of the uncertainty of data in information gathering system, a multi-sensor information fusion method based on fuzzy set and evidence theory (FS-DS) is proposed. The fuzzy support probability of the uncertain information is defined by making using of the correlation function, Then it is received the credibility of the information measured by each sensor form the membership function. And, will the support and confidence into basic probability function. Finally, the sensors with higher measurement precision are identified by D-S evidence combination. The proposed method can improve the problem of the basic probability assignment function is difficult to be determined and the calculation of degree of mutual support is absolute are improved. The practical application verifies that the fusion result has higher accuracy and reliability.