A Fusion Recognition Method Based on Cloud Model and Evidence Theory

Motivated by the problem that the characteristic of target parameters with different data types is not easy to identify, a type of target characteristic parameter modeling and fusion recognition method is proposed based on a cloud model and the D-S evidence theory. First, to obtain the membership, digital and semantic data are combined by a cloud model in this method. Then, the membership is transferred to the basic probability assignment, and decision information is derived using the evidence theory. Finally, simulation experiment is conducted to prove the effectiveness of the proposed method. The simulation results show that the method can process both single-or single-interval value parameters as well as multiple-or multiple-interval-value parameters.