Emergency risk severity judgment based on fusion of quantum state evidence bodies of ternary crowd intelligence information
In view of the difficulty of processing complex heterogeneous multivariate information of emergencies,this paper studies the risk criticality judgment method for ternary crowd intelligence information evidence fusion.The ternary crowd intelligence information evaluation index system composed of hardware perception information,media perception information and group perception information is constructed,and the two-dimensional representation of ternary crowd intelligence information is designed.To represent the connection and conflict between information,a ternary crowd intelligence information similarity measurement model considering vector projection and distance norm is established.To weaken the conflict between evidences,a risk criticality measurement method considering quantum weighted average optimization operator is established.Finally,an example is given to illustrate the effectiveness of the proposed proposed method.
emergency decision-makingternary crowd intelligence informationevidence theoryquantum state evidence fusion
万方数据
维普
