基于三元群智信息量子态证据体融合的突发事件风险危重度研判

Emergency risk severity judgment based on fusion of quantum state evidence bodies of ternary crowd intelligence information

针对突发事件复杂、多源信息难以有效融合的问题,研究面向三元群智信息证据融合的风险危重度研判方法.构建由硬件感知、媒介感知和群体感知组成的三元群智信息风险危重度研判体系,设计三元群智信息的二维表征方式;为测度三元群智信息间的内联关系,建立考虑向量投影和距离范数的群智信息相似度测度模型;为减弱三元群智信息证据间的冲突特性,建立考虑量子加权平均算子的风险危重度测算方法.最后通过算例验证方法的有效性.

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.