引用“时序熵”——同时考虑了时间和空间变化的熵这一概念描述一组数据的混乱程度，熵的值越大，混乱度越高；熵的值越小，混乱度越低。在matlab条件下，首先编写程序写出熵的计算程序（这里用到了熵的近似算法）；然后在蒙特卡洛方法的基础上，编写程序生成随机性数组；接下来设计数据调整算法，通过检验数组的“时序熵”变化进行调控，产生一定程度的有序数列来模拟真实数据，并简单论证算法和所生成数据的可靠性和合理性。本文旨在为相关研究人员提供借鉴和思路。

We use the actual entropy which depends not only on the frequency of time but also the order of an array to describe the laws of an array. If the entropy rises, the array will be more chaotic. If the entropy decreases, the consequence will be the opposite. Based on the matlab, we first make a program which bases on a similar algorithm to calculate the actual entropy; By using the idea of The Monte Carlo Method, we can produce some random array; Next we can design an algorithm which change the entropy of an array to adjust the random array which have been produced, then some simulated data can be produced. Last, we will give a simple argument on the algorithm which change the entropy. Our research maybe give an idea to some researchers who work on the field.