Multi-source information fusion based on weighted IFS evidence combination algorithm

Abstract:

A method for determining the discounting factor of each intuitionistic fuzzy evidence based on intuitionistic fuzzy cross-entropy is proposed to treat the reliability among the evidences for different sources and avoid the conflicts. It can be used in the intuitionistic fuzzy evidence combination to improve the efficiency of D-S combination algorithm. The score function simply used in the intuitionistic fuzzy decision is improved according to the certainty factor to discuss the final results of the combination. Experiments comparison with other approximations indicates the proposed algorithm is of effectiveness and high-performance in the multi-source information fusion.