A hybrid cognition system: application to stock market analysis

In this paper we establish a simple hybrid cognition system which is based on neural networks and fuzzy decision theory. For the purpose of analyzing the trends of stock market, we expect that the system can reflect the dynamical character or chaotic performance of a trading stock market. The whole procedure of the system include: data preprocessing neural network classification, fuzzy decision and forecasting.