基于随机模拟视角的混合数据形式密度算子

基于“蒙特卡罗仿真”的思想,采用随机模拟的方法从混合数据形式的角度对密度算子进行拓展研究。首先,给出了一种将混合数据转化为区间数的方法,并通过平移和放大或缩小处理,将所有区间数放到同一区间范围内;然后,运用随机数发生器给出区间上某分布的随机数信息,并依据随机数的分布情况对其进行聚类,给出了密度权重的确定方法;在此基础上,将随机模拟的方法应用于密度算子信息集结模型中,得到带有概率信息的评价结论。最后,通过一个算例验证了方法的有效性。

Density Operator of Blended Data Form From Stochastic Simulation Aspect

This paper studies density operator of blended data information form by using stochastic simulation method on the basis of Monte Carlo simulation. First, the blended data are transformed into interval numbers, which are in the same scope after parallel translation and enlargement or contraction. Then, the stochastic numbers are given through stochastic number generator, which obeys some distribution. A clustering method and density weights determination method are provided. Based on this, the stochastic simulation method is used for information aggregation model of density operator, which can generate conclusion with reliable information. At last, an example is given to illustrate the effectiveness of the proposed method.