| Article ID: | iaor2001671 |
| Country: | United Kingdom |
| Volume: | 18 |
| Issue: | 3 |
| Start Page Number: | 181 |
| End Page Number: | 204 |
| Publication Date: | May 1999 |
| Journal: | International Journal of Forecasting |
| Authors: | Ang Cheng-Leong, Li Xiang, Gray Robert |
| Keywords: | forecasting: applications, fuzzy sets, neural networks |
In this paper an intelligent business forecaster for strategic business planning is presented. The forecaster is basically a multi-layered fuzzy rule-based neural network which integrates the basic elements and functions of a traditional fuzzy logic inference into a neural network structure. It has also been shown to be superior to two commercially available business forecasters in terms of learning speed and forecasting accuracy. This paper presents the architectural design of the intelligent business forecaster and the results of a study that has been carried out to compare its performance with that of the others.