Conversion degree functions induced by qualitative mapping and fuzzy artificial neurons
Two definitions of qualitative mapping (QM) and conversion degree function (CDF) are presented in this paper. It is shown that, under the action of some special conversion degree functions, its qualitative criterion is turned into a fuzzy qualitative criterion. A fuzzy artificial neuron can be induced by an m-dimension weight conversion degree function (MWCDF) /spl eta/i(x), and two classifying algorithms based on MWCDF for two nonlinear patterns, XOR and two spirals, are given respectively.