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An Induction Algorithm Based on Fuzzy Logic Programming
Daisuke Shibata,
Nobuhiro Inuzuka,
Shohei Kato,
Tohgoroh
Matsui,
and Hidenori Itoh.
In N. Zhong
and L. Zhou, editors, Proceedings of the Third Pacific-Asia
Conference on Knowledge Discovery and Data Mining, volume 1574 of
Lecture Notes in Artificial Intelligence, pages 268--273.
Springer-Verlag, April 1999. More behind this link.
Abstract
This paper gives a formulation of inductive learning based on fuzzy logic
programming (FLP) and a top-down algorithm for it by extending an inductive
logic programming (ILP) algorithm FOIL. The algorithm was implemented and
evaluated by experiments. Linguistic hedges, which modifies truth, are shown
to have effect to adjust classification properties. The algorithm deals with
structural domain as other ILP algorithms do and also works well with numeric
attributes.
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