Consensus closeness degree information fusion algorithm based on modified particle swarm optimization
Jia-ping Du · Transducer and Microsystem Technologies · 2011
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.