PROCEEDINGS IPMU '08
FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers
Jens Hühn and Eyke Hüllermeier
This paper introduces a fuzzy rulebased
classification method called
FR3, which is short for Fuzzy Round
Robin RIPPER. In the context of
polychotomous classification, it uses
a fuzzy extension of the well-known
RIPPER algorithm as a base learner
within a round robin scheme. A
key feature of FR3 is its ability to
represent different facets of uncertainty
involved in a classification decision
in a more faithful way, thereby
providing the basis for implementing
“reliable classifiers” that may, for example,
abstain from a decision when
not being sure enough.
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