Result fusion in multi-agent systems based on OWA operator

In multi-agent systems, each of the agents may have its own expertise. When they are asked to accomplish the same task, the results may be different. In such situations, we need to fuse the results to obtain a final one. We propose an information fusion approach when multiple agents are asked to collect the information for the same query from different resources. We also discuss the group decision fusion problem that several agents with similar knowledge make decisions using the same information. Both are based on ordered weighted averaging (OWA) operator.