Study of Compressed Organization Structure by Means of Entropy Theory

The paper is based on the formula put forward by Shannon, which is used to measure the information flow generated from discrete variables, and also the maximum entropy rule put forward by Jaynes, which is used to describe the distribution of maximum entropy. Through analysing the characters of entropy function, we draw a conclusion of the relationship between the value of entropy function and the possibility of variables. At the end, compressed organization structure is proved to be superior to hierarchical structure.