1. A method of recognizing an object, comprising the steps of: gathering a set of information from a sensor, wherein said information is representative of a characteristic of said object; creating Dempster-Shafer basic probability assignments (bpa's) based on said set of information, wherein said Dempster-Shafer bpa's represent a probability that said object comprises a target; creating combinations of said Dempster-Shafer bpa's, wherein said combinations of said Dempster-Shafer bpa's represent the probability that said object comprises a target; measuring an error present in said Dempster-Shafer bpa's and said combinations of said Dempster-Shafer bpa's; calculating updates to said Dempster-Shafer bpa's and said combinations of said Dempster-Shafer bpa's based on said error; and refining said probability of said object comprising a target by modifying said Dempster-Shafer bpa's and said combinations of said Dempster-Shafer bpa's based on said updates.