Evidence combination for baseline accuracy determination

In the field of data mining, one of the main objectives is to achieve the highest possible classification accuracy. This paper presents a classifier fusion system based on the principles of the Dempster-Shafer theory of evidence combination. It allows one to combine evidence from different sources and arrive at a degree of belief (represented by a belief function) that takes into account all the available evidence.