The closeness degree describes the fuzzy measurements of sensors

and it plays an important role in the accuracy of information fusion.A consistent and reliable measure is used to describe the fuzzy measurement of the sensor

and a consistent approaching degree fusion algorithm based on particle swarm optimization is proposed.This algorithm establishes a multi-objective and reliable measure of the data model

and the approaching degree between multiple sensors is defined.Using the improved particle swarm optimization algorithm to determine the variety of weights of the model objectively

the ultimate fusion algorithm is given according to the consistent and reliable measurement

and give an example to verify the effectiveness of the algorithm.