A method based on the histogram of the sample feature distribution is presented to construct the mass function，for the problem of pattern recognition using the multi-feature fusion. Firstly

the sample feature distribution is established. In the overlapping area of the histogram

the feature is uncertain; while in the nooverlapping area of the histogram the feature is determinate. Then

for a new object

if one of its features falls into the overlapping region of the histogram

the mass function constructed by this feature has a larger uncertainty; if the feature falls into non-overlapping region of the histogram

the mass function constructed by this feature has a greater certainty. The mass functions of different features are fused to get the fusion result. The correct ratio of the irisplant classify experiment is 96.64%

and the result shows that this method is feasible.