Measures of confidence associated with combining classification results
Jack D. Tubbs, William O. Alltop · IEEE Transactions on Systems Man and Cybernetics · 1991
The problem under consideration is that of combining classification results from several classifiers. This problem was motivated by the US Navy's involvement in developing a system for integrating classification results from multiple sensors. As in any decision process one needs to quantify the uncertainty associated with the decision. A procedure based upon ranked lists from classification outputs is considered. Particular attention is given to the problem of assigning measures of confidence to the combined classification results where the interpretation is easily explained.>