A neuro-fuzzy decision support system for selection of small scale business.


Artificial Neural Network (ANN) and Fuzzy Logic (FL) are two important and useful technologies having their strengths and weaknesses. The combination of fuzzy logic and neural networks constitutes a powerful means for intelligent system development and offers dual advantages of the technologies. This article describes four approaches of neuro-fuzzy systems with their broad design and also presents general structure of a business advisory system using hybrid neuro-fuzzy approach. The system utilizes ANN that considers basic parameters and data from the environment for selection of a small-scale business in the given area and generates rules accordingly. Finally, the article presents sample rules extracted from the neuro-fuzzy system, screens for the interface design and parameters for implementation.

E. Hüllermeier, R. Kruse, and F. Hoffmann (Eds.): proceedings of IPMU 2010, Part II, CCIS 81, pp. 306–315, 2010, Springer-Verlag Berlin Heidelberg 2010.07.02