Business data modelling and forecasting with the use of fuzzy neural networks
Marian B. Gorzałczany · 2002
The first goal of this paper is to briefly present a methodology for complex system modelling which can utilize both quantitative (numerical) and qualitative (linguistic, fuzzy) types of knowledge which usually contribute to the description of the behaviour of the system. This methodology is based on fuzzy neural networks. An inference and forecasting engine designed with the use of the proposed fuzzy neural network is also presented. The second goal of this paper is the application of the proposed methodology to modelling of the data describing the level of sales in relation to the changes of a leading indicator. The data is typical of that arising in business forecasting.