A fuzzy inference system based on the Sugeno inference model is first formulated for fuzzy regression analysis. This system is then represented by a fuzzy adaptive network. This approach combines the power of representation of fuzzy inference system with the ability of learning of the neural network. Numerical examples are trained and solved to illustrate the approach. The results are compared with other approaches.
Computers and Mathematics with Applications 38(2), pp.123-140