When the overlap of categories is excessive, the accuracy of Web page classification decreases. In order to classify the Web pages accurately, a framework of fuzzy classification of Web pages is presented, to give a mechanism of combining the human knowledge on Web page classification by a member function. Then a general learning rule of the coefficients is proposed. The Lyapunov function is used to analyze the convergence of the general learning rule, and it is proved in theory that the general learning rule has the inherent factor which adjusts the coefficient values to gain the minimum erro...
