The Development Trend Analysis of Pet Industry

In this paper, we study the pet industry of China. Firstly, we analyze the factors in the development of China's pet industry based on the data and apply some regressions to select features. Furthermore, we combine the random forest and polynomial regression model to construct a hybrid algorithm to predict the development trend of pet food industry. Then we use the Analytic Hierarchy Process(AHP)-Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) to evaluate of the market and get the score for China's pet food industry so that we can get a more comprehensive and precise evaluation. What's more, we build a hybrid algorithm to predict pet food industry of China. At last, we analyze the development of the global pet industry and give some suggestions to the pet industry.