基于DS证据理论的粉尘浓度数据融合算法研究

Dust Concentration Data Fusion Algorithm Based on DS Evidence Theory

针对采用DS证据理论处理粉尘浓度数据时,不能有效处理冲突问题,结合粉尘检测原理,分析了粉尘颗粒在空间中的受力情况,粉尘颗粒在空间中的运动状态分析了粉尘颗粒的扩散,获得粉尘浓度分布,依据粉尘浓度分布特点,提出适用于粉尘浓度数据的一种概率赋值函数获取方法,并提出一种新的融合规则消除冲突。

Due to the conflict issues can not be solved effectively when processing dust concentration data based on DS evidence theory,combined with dust detection theory,this paper analyzes the forces when dust particles are in space force,gets the movement of dust particles in space and diffusion process,obtains the distribution of dust concentration.According to the distribution of dust concentration,this paper presents probability assignment function acquisition method that is suitable for dust concentration data,proposes a new fusion rules to eliminate conflicts in the meantime.