A Research On The Application Of A Fuzzy Controller In Stock Investments

Since the founding of the Shanghai Stock Exchange in 1990, the development of China's stock market can be described as rapid. The stock market not only has played a specific role in macroeconomic regulation and control, corporate finance, and social resources allocation, but also has created an opportunity for the investors to obtain high returns. Research and prediction of the stock price has become a focus of attention of many academics and investors. However, the complexity, nonlinearity, time variability and hysteresis quality of the stock market are the main problems we face. Since the 1980s, new technologies and new theories which come out in an unending flow have provided us powerful new tools for the research of the stock market behavior.Among them, fuzzy control is a controlled manner which controls the work of system based in the basic idea of fuzzy mathematics and theory. As we all know, the stock market itself is an extremely complex system, and a collection of many elements. The factors influencing the stock price are so numerous that we cannot know their extent, time and way of impact. Like this we can not get a precise mathematical model of the object, the fuzzy control method has specific solutions. In this paper, the ambiguity of the stock market is researched. In order to realize that computers can make a decision of stock investments instead of human being, and avoid the irrational transaction, this paper combines the method of fuzzy control with the moving average method of technique analysis, and designs a fuzzy control system for stock investments. Then, the algorithm involved is programmed by the mathematical tool Matlab, and so, the analysis and calculation is simplified. At last, we confirm that the system has a good feasibility and accuracy by an example, and point out the specific investment recommendations.The overall frame of the article is as follows:The first chapter mainly introduces the background and significance of this research, and analyzes the present situation of domestic and foreign research. The second chapter mainly introduces the basic theory, related concepts and overview of current applications of fuzzy control, initially describes the composition of fuzzy control system, and points out the issues facing of the fuzzy control method in the stock investment. The third chapter analyzes the causes and forms of expression of the characteristic of fuzziness, and researches the necessity and feasibility of the fuzzy control to be applied to the stock market. The fourth chapter shows the detailed description of the fuzzy control system and the moving average method of technique analysis used in the design. The fifth chapter is the core of this paper, a fuzzy control system for stock investments is designed, the algorithm involved is programmed by Matlab, and the flow chart of the design is showed. The sixth chapter we confirm that the system has a good feasibility and accuracy by an example, and point out the specific investment recommendations. The last chapter is the conclusion of this paper. It points out the innovations, and reveals the summary and outlook.