Measuring and Managing Uncertainty Through Data Fusion for Application to Aircraft Identification System

Evidence theoretic classification of ballistic missiles

“…While Bayesian methods are theoretically optimal under certain conditions, such applications require estimates of prior probabilities and decisions are made from disjoint class hypothesis sets. The Dempster-Shafer theory (DST) of evidence potentially provides an alternative approach for object classification when conditions are not optimal [17][18][19][20][21][22][23][24][25]. The DST of evidence is one of the two prevalent classification schemes that handle uncertainty/indeterministic inputs using the theory of evidence or degree of belief, the other being the Bayesian inference method.…”