A Fuzzy Classifier Based on Interval-valued Reasoning and AFS Structure

Based on the analysis of interval-valued fuzzy set theory and current fuzzy classifier,two classifier algorithms based on interval-valued reasoning and AFS theory respectively are proposed.Experiments with the Iris data show that the former algorithm has good performance and the latter not only performs better than the former but also can be applied to databases which describe fuzzy concept.These two algorithms have very good prospect in the practice of classification.