Data association with believe theory

In this paper, we present a method based on believe theory to combine expert opinion or symbolic sensor data. We consider applications with large frame of discernment and we propose generalisation for believe mass combination. In order to take into account of unknown hypothesis, we introduce a new framework for Dempster's combination: it is called the extended open world. This framework offers the possibility to have an opinion about the conflict between the experts and about the opportunity to introduce a new hypothesis in the frame of discernment. Some results highlight advantages of this framework in decision process.