Abstract: Aiming at the problem of the data uncertainty in information gathering system, a multi-sensor information fusion method based on fuzzy set and evidence theory is proposed, in which the fuzzy support probability of the uncertain information is defined by the correlation function. Credibility of the information measured by each sensor is obtained by using the membership function. The support and credibility are transformed into basic probability assignment function. The sensors with higher measurement precision are identified by D-S evidence combination. Practical application results show that this method can improve the problems that basic probability assignment function is difficult to be determined and the calculation of degree of mutual support is absolute, and the fusion result has higher accuracy and reliability.
confidence distance measure