Fuzzy partitioning with FID3.1

FID3.1 builds fuzzy decision trees, with a range of choices for fuzzy operators and inferences. Various FID algorithms are being widely used for dealing with numeric and/or imprecise data, for fuzzy classification or for generating fuzzy rules. FID 3.0 adds a number of new features, the most important being a fuzzy partitioning mechanism construction of fuzzy sets for continuous variables w/o predefined fuzzy terms. FID3.1 improves the mechanism in a number of ways. The paper describes the partitioning method and presents a few comparative experiments.