The traditional conflict measure between attribute information can’t objectively give a quantitative description
about their dissimilarity when the information quality is relatively low resulting from sensors’ poor identification
performance. So a new conflict measure is defined, which can nicely distinguish between the attribute information from
targets of the same type and that from targets of different type. Taking the new conflict measure as its basis, the correlation
decision for attribute information is implemented with multi-dimensional assignment algorithm. Theoretical analysis and
simulation experiment results show the effectiveness of the proposed attribute information correlation algorithm based on the
new conflict measure.