Focused on the problem that it is difficult to set up the basic probability assignment function (mass function) in the evidence theory and determine the reliability of each sensor in the process of the multi-sensors data fusion. In the paper, a new data fusion method based on fuzzy theory and evidence theory is proposed. The mutual supportability of multiple sensors is obtained from the correlation function. Then by the membership function, the reliability of information provide by each sensor is gained. Finally, the supposed fusion result can be produced on the basis of evidence theory. The method is simple computationally and can objectively reflect the reliability of each sensor and interrelationship between these sensors. The simulation experiment shows that the fusion results have higher precision and reliability compared with other methods.