Weighted attribute information fusion based on OWA aggregation operator

For solving data fusion problem of inequably important information sources in multi-sensor information fusion, the weighted attribute information fusion method is introduced based on the ordered weighted averaging (OWA) operator. Each attribute data is transformed according to its weight then the data synthesis is completed by using traditional method. In multi-sensor target recognition of different grade the problem that traditional method is only used in fusing the same grade sensor data is solved. Finally, the target recognition example based on this fusion model shows that this method is efficient and correct.