Multi-source knowledge fusion algorithm

Multiple source knowledge fusion can effectively enhance the reliability and credibility of the ruling result. In the light of information fusion, methods and general model of knowledge fusion were analyzed, with emphasis on knowledge fusion algorithms based on Bayes rule, Dempster-Shafer(D-S) proof theory and fuzzy sets theory. Explicit processing steps of the algorithms mentioned above were presented, and comparison between which from the perspectives of the characteristics, applicability wend practicability were drawn as well. Finally, the knowledge fusion algorithms based on Bayes theory was introduced into the field of synthetic aperture radar(SAR) image fusions. Simulation results show the effectiveness of the multiple source knowledge fusion algorithms.