FURIA: Fuzzy Unordered Rule Induction Algorithm
FURIA is short for Fuzzy Unordered Rule Induction Algorithm. FURIA
extends the well-known RIPPER algorithm, a state-of-the-art rule
learner, while preserving its advantages, such as simple and
comprehensible rule sets. In addition, it includes a number of
modifications and extensions. In particular, FURIA learns fuzzy rules
instead of conventional rules and unordered rule sets instead of rule
lists. Moreover, to deal with uncovered examples, it makes use of an
efficient rule stretching method. Experimental results show that FURIA
significantly outperforms the original RIPPER, as well as other
classifiers such as C4.5, in terms of classification accuracy.
