a comparison on information fusion methods for air target identification
We compared the performance of Bayes Theory, Fuzzy Set Theory, Heuristic method and Dempster-Shafer Theory in the identification of aircrafts by using the information from different sensors. From the results of the simulation, the Fuzzy method produces the best result. The final identification could be improved if specific features of each type of aircraft are available. To get more accurate object identification, the results from each method can be combined with the best assignment of values for each method.
information fusion bayes theory fuzzy set dempster-shafer theory